Overview

Dataset statistics

Number of variables304
Number of observations16898
Missing cells1564992
Missing cells (%)30.5%
Total size in memory39.3 MiB
Average record size in memory2.4 KiB

Variable types

Numeric304

Alerts

count_away_goalkeeper has constant value ""Constant
count_home_goalkeeper has constant value ""Constant
overall_rating_away_defense has 5148 (30.5%) missing valuesMissing
overall_rating_away_forward has 5148 (30.5%) missing valuesMissing
overall_rating_away_goalkeeper has 5148 (30.5%) missing valuesMissing
overall_rating_away_midfielder has 5148 (30.5%) missing valuesMissing
overall_rating_home_defense has 5148 (30.5%) missing valuesMissing
overall_rating_home_forward has 5148 (30.5%) missing valuesMissing
overall_rating_home_goalkeeper has 5148 (30.5%) missing valuesMissing
overall_rating_home_midfielder has 5148 (30.5%) missing valuesMissing
potential_away_defense has 5148 (30.5%) missing valuesMissing
potential_away_forward has 5148 (30.5%) missing valuesMissing
potential_away_goalkeeper has 5148 (30.5%) missing valuesMissing
potential_away_midfielder has 5148 (30.5%) missing valuesMissing
potential_home_defense has 5148 (30.5%) missing valuesMissing
potential_home_forward has 5148 (30.5%) missing valuesMissing
potential_home_goalkeeper has 5148 (30.5%) missing valuesMissing
potential_home_midfielder has 5148 (30.5%) missing valuesMissing
attacking_work_rate_away_defense has 5148 (30.5%) missing valuesMissing
attacking_work_rate_away_forward has 5148 (30.5%) missing valuesMissing
attacking_work_rate_away_goalkeeper has 5148 (30.5%) missing valuesMissing
attacking_work_rate_away_midfielder has 5148 (30.5%) missing valuesMissing
attacking_work_rate_home_defense has 5148 (30.5%) missing valuesMissing
attacking_work_rate_home_forward has 5148 (30.5%) missing valuesMissing
attacking_work_rate_home_goalkeeper has 5148 (30.5%) missing valuesMissing
attacking_work_rate_home_midfielder has 5148 (30.5%) missing valuesMissing
defensive_work_rate_away_defense has 5148 (30.5%) missing valuesMissing
defensive_work_rate_away_forward has 5148 (30.5%) missing valuesMissing
defensive_work_rate_away_goalkeeper has 5148 (30.5%) missing valuesMissing
defensive_work_rate_away_midfielder has 5148 (30.5%) missing valuesMissing
defensive_work_rate_home_defense has 5148 (30.5%) missing valuesMissing
defensive_work_rate_home_forward has 5148 (30.5%) missing valuesMissing
defensive_work_rate_home_goalkeeper has 5148 (30.5%) missing valuesMissing
defensive_work_rate_home_midfielder has 5148 (30.5%) missing valuesMissing
crossing_away_defense has 5148 (30.5%) missing valuesMissing
crossing_away_forward has 5148 (30.5%) missing valuesMissing
crossing_away_goalkeeper has 5148 (30.5%) missing valuesMissing
crossing_away_midfielder has 5148 (30.5%) missing valuesMissing
crossing_home_defense has 5148 (30.5%) missing valuesMissing
crossing_home_forward has 5148 (30.5%) missing valuesMissing
crossing_home_goalkeeper has 5148 (30.5%) missing valuesMissing
crossing_home_midfielder has 5148 (30.5%) missing valuesMissing
finishing_away_defense has 5148 (30.5%) missing valuesMissing
finishing_away_forward has 5148 (30.5%) missing valuesMissing
finishing_away_goalkeeper has 5148 (30.5%) missing valuesMissing
finishing_away_midfielder has 5148 (30.5%) missing valuesMissing
finishing_home_defense has 5148 (30.5%) missing valuesMissing
finishing_home_forward has 5148 (30.5%) missing valuesMissing
finishing_home_goalkeeper has 5148 (30.5%) missing valuesMissing
finishing_home_midfielder has 5148 (30.5%) missing valuesMissing
heading_accuracy_away_defense has 5148 (30.5%) missing valuesMissing
heading_accuracy_away_forward has 5148 (30.5%) missing valuesMissing
heading_accuracy_away_goalkeeper has 5148 (30.5%) missing valuesMissing
heading_accuracy_away_midfielder has 5148 (30.5%) missing valuesMissing
heading_accuracy_home_defense has 5148 (30.5%) missing valuesMissing
heading_accuracy_home_forward has 5148 (30.5%) missing valuesMissing
heading_accuracy_home_goalkeeper has 5148 (30.5%) missing valuesMissing
heading_accuracy_home_midfielder has 5148 (30.5%) missing valuesMissing
short_passing_away_defense has 5148 (30.5%) missing valuesMissing
short_passing_away_forward has 5148 (30.5%) missing valuesMissing
short_passing_away_goalkeeper has 5148 (30.5%) missing valuesMissing
short_passing_away_midfielder has 5148 (30.5%) missing valuesMissing
short_passing_home_defense has 5148 (30.5%) missing valuesMissing
short_passing_home_forward has 5148 (30.5%) missing valuesMissing
short_passing_home_goalkeeper has 5148 (30.5%) missing valuesMissing
short_passing_home_midfielder has 5148 (30.5%) missing valuesMissing
volleys_away_defense has 5148 (30.5%) missing valuesMissing
volleys_away_forward has 5148 (30.5%) missing valuesMissing
volleys_away_goalkeeper has 5148 (30.5%) missing valuesMissing
volleys_away_midfielder has 5148 (30.5%) missing valuesMissing
volleys_home_defense has 5148 (30.5%) missing valuesMissing
volleys_home_forward has 5148 (30.5%) missing valuesMissing
volleys_home_goalkeeper has 5148 (30.5%) missing valuesMissing
volleys_home_midfielder has 5148 (30.5%) missing valuesMissing
dribbling_away_defense has 5148 (30.5%) missing valuesMissing
dribbling_away_forward has 5148 (30.5%) missing valuesMissing
dribbling_away_goalkeeper has 5148 (30.5%) missing valuesMissing
dribbling_away_midfielder has 5148 (30.5%) missing valuesMissing
dribbling_home_defense has 5148 (30.5%) missing valuesMissing
dribbling_home_forward has 5148 (30.5%) missing valuesMissing
dribbling_home_goalkeeper has 5148 (30.5%) missing valuesMissing
dribbling_home_midfielder has 5148 (30.5%) missing valuesMissing
curve_away_defense has 5148 (30.5%) missing valuesMissing
curve_away_forward has 5148 (30.5%) missing valuesMissing
curve_away_goalkeeper has 5148 (30.5%) missing valuesMissing
curve_away_midfielder has 5148 (30.5%) missing valuesMissing
curve_home_defense has 5148 (30.5%) missing valuesMissing
curve_home_forward has 5148 (30.5%) missing valuesMissing
curve_home_goalkeeper has 5148 (30.5%) missing valuesMissing
curve_home_midfielder has 5148 (30.5%) missing valuesMissing
free_kick_accuracy_away_defense has 5148 (30.5%) missing valuesMissing
free_kick_accuracy_away_forward has 5148 (30.5%) missing valuesMissing
free_kick_accuracy_away_goalkeeper has 5148 (30.5%) missing valuesMissing
free_kick_accuracy_away_midfielder has 5148 (30.5%) missing valuesMissing
free_kick_accuracy_home_defense has 5148 (30.5%) missing valuesMissing
free_kick_accuracy_home_forward has 5148 (30.5%) missing valuesMissing
free_kick_accuracy_home_goalkeeper has 5148 (30.5%) missing valuesMissing
free_kick_accuracy_home_midfielder has 5148 (30.5%) missing valuesMissing
long_passing_away_defense has 5148 (30.5%) missing valuesMissing
long_passing_away_forward has 5148 (30.5%) missing valuesMissing
long_passing_away_goalkeeper has 5148 (30.5%) missing valuesMissing
long_passing_away_midfielder has 5148 (30.5%) missing valuesMissing
long_passing_home_defense has 5148 (30.5%) missing valuesMissing
long_passing_home_forward has 5148 (30.5%) missing valuesMissing
long_passing_home_goalkeeper has 5148 (30.5%) missing valuesMissing
long_passing_home_midfielder has 5148 (30.5%) missing valuesMissing
ball_control_away_defense has 5148 (30.5%) missing valuesMissing
ball_control_away_forward has 5148 (30.5%) missing valuesMissing
ball_control_away_goalkeeper has 5148 (30.5%) missing valuesMissing
ball_control_away_midfielder has 5148 (30.5%) missing valuesMissing
ball_control_home_defense has 5148 (30.5%) missing valuesMissing
ball_control_home_forward has 5148 (30.5%) missing valuesMissing
ball_control_home_goalkeeper has 5148 (30.5%) missing valuesMissing
ball_control_home_midfielder has 5148 (30.5%) missing valuesMissing
acceleration_away_defense has 5148 (30.5%) missing valuesMissing
acceleration_away_forward has 5148 (30.5%) missing valuesMissing
acceleration_away_goalkeeper has 5148 (30.5%) missing valuesMissing
acceleration_away_midfielder has 5148 (30.5%) missing valuesMissing
acceleration_home_defense has 5148 (30.5%) missing valuesMissing
acceleration_home_forward has 5148 (30.5%) missing valuesMissing
acceleration_home_goalkeeper has 5148 (30.5%) missing valuesMissing
acceleration_home_midfielder has 5148 (30.5%) missing valuesMissing
sprint_speed_away_defense has 5148 (30.5%) missing valuesMissing
sprint_speed_away_forward has 5148 (30.5%) missing valuesMissing
sprint_speed_away_goalkeeper has 5148 (30.5%) missing valuesMissing
sprint_speed_away_midfielder has 5148 (30.5%) missing valuesMissing
sprint_speed_home_defense has 5148 (30.5%) missing valuesMissing
sprint_speed_home_forward has 5148 (30.5%) missing valuesMissing
sprint_speed_home_goalkeeper has 5148 (30.5%) missing valuesMissing
sprint_speed_home_midfielder has 5148 (30.5%) missing valuesMissing
agility_away_defense has 5148 (30.5%) missing valuesMissing
agility_away_forward has 5148 (30.5%) missing valuesMissing
agility_away_goalkeeper has 5148 (30.5%) missing valuesMissing
agility_away_midfielder has 5148 (30.5%) missing valuesMissing
agility_home_defense has 5148 (30.5%) missing valuesMissing
agility_home_forward has 5148 (30.5%) missing valuesMissing
agility_home_goalkeeper has 5148 (30.5%) missing valuesMissing
agility_home_midfielder has 5148 (30.5%) missing valuesMissing
reactions_away_defense has 5148 (30.5%) missing valuesMissing
reactions_away_forward has 5148 (30.5%) missing valuesMissing
reactions_away_goalkeeper has 5148 (30.5%) missing valuesMissing
reactions_away_midfielder has 5148 (30.5%) missing valuesMissing
reactions_home_defense has 5148 (30.5%) missing valuesMissing
reactions_home_forward has 5148 (30.5%) missing valuesMissing
reactions_home_goalkeeper has 5148 (30.5%) missing valuesMissing
reactions_home_midfielder has 5148 (30.5%) missing valuesMissing
balance_away_defense has 5148 (30.5%) missing valuesMissing
balance_away_forward has 5148 (30.5%) missing valuesMissing
balance_away_goalkeeper has 5148 (30.5%) missing valuesMissing
balance_away_midfielder has 5148 (30.5%) missing valuesMissing
balance_home_defense has 5148 (30.5%) missing valuesMissing
balance_home_forward has 5148 (30.5%) missing valuesMissing
balance_home_goalkeeper has 5148 (30.5%) missing valuesMissing
balance_home_midfielder has 5148 (30.5%) missing valuesMissing
shot_power_away_defense has 5148 (30.5%) missing valuesMissing
shot_power_away_forward has 5148 (30.5%) missing valuesMissing
shot_power_away_goalkeeper has 5148 (30.5%) missing valuesMissing
shot_power_away_midfielder has 5148 (30.5%) missing valuesMissing
shot_power_home_defense has 5148 (30.5%) missing valuesMissing
shot_power_home_forward has 5148 (30.5%) missing valuesMissing
shot_power_home_goalkeeper has 5148 (30.5%) missing valuesMissing
shot_power_home_midfielder has 5148 (30.5%) missing valuesMissing
jumping_away_defense has 5148 (30.5%) missing valuesMissing
jumping_away_forward has 5148 (30.5%) missing valuesMissing
jumping_away_goalkeeper has 5148 (30.5%) missing valuesMissing
jumping_away_midfielder has 5148 (30.5%) missing valuesMissing
jumping_home_defense has 5148 (30.5%) missing valuesMissing
jumping_home_forward has 5148 (30.5%) missing valuesMissing
jumping_home_goalkeeper has 5148 (30.5%) missing valuesMissing
jumping_home_midfielder has 5148 (30.5%) missing valuesMissing
stamina_away_defense has 5148 (30.5%) missing valuesMissing
stamina_away_forward has 5148 (30.5%) missing valuesMissing
stamina_away_goalkeeper has 5148 (30.5%) missing valuesMissing
stamina_away_midfielder has 5148 (30.5%) missing valuesMissing
stamina_home_defense has 5148 (30.5%) missing valuesMissing
stamina_home_forward has 5148 (30.5%) missing valuesMissing
stamina_home_goalkeeper has 5148 (30.5%) missing valuesMissing
stamina_home_midfielder has 5148 (30.5%) missing valuesMissing
strength_away_defense has 5148 (30.5%) missing valuesMissing
strength_away_forward has 5148 (30.5%) missing valuesMissing
strength_away_goalkeeper has 5148 (30.5%) missing valuesMissing
strength_away_midfielder has 5148 (30.5%) missing valuesMissing
strength_home_defense has 5148 (30.5%) missing valuesMissing
strength_home_forward has 5148 (30.5%) missing valuesMissing
strength_home_goalkeeper has 5148 (30.5%) missing valuesMissing
strength_home_midfielder has 5148 (30.5%) missing valuesMissing
long_shots_away_defense has 5148 (30.5%) missing valuesMissing
long_shots_away_forward has 5148 (30.5%) missing valuesMissing
long_shots_away_goalkeeper has 5148 (30.5%) missing valuesMissing
long_shots_away_midfielder has 5148 (30.5%) missing valuesMissing
long_shots_home_defense has 5148 (30.5%) missing valuesMissing
long_shots_home_forward has 5148 (30.5%) missing valuesMissing
long_shots_home_goalkeeper has 5148 (30.5%) missing valuesMissing
long_shots_home_midfielder has 5148 (30.5%) missing valuesMissing
aggression_away_defense has 5148 (30.5%) missing valuesMissing
aggression_away_forward has 5148 (30.5%) missing valuesMissing
aggression_away_goalkeeper has 5148 (30.5%) missing valuesMissing
aggression_away_midfielder has 5148 (30.5%) missing valuesMissing
aggression_home_defense has 5148 (30.5%) missing valuesMissing
aggression_home_forward has 5148 (30.5%) missing valuesMissing
aggression_home_goalkeeper has 5148 (30.5%) missing valuesMissing
aggression_home_midfielder has 5148 (30.5%) missing valuesMissing
interceptions_away_defense has 5148 (30.5%) missing valuesMissing
interceptions_away_forward has 5148 (30.5%) missing valuesMissing
interceptions_away_goalkeeper has 5148 (30.5%) missing valuesMissing
interceptions_away_midfielder has 5148 (30.5%) missing valuesMissing
interceptions_home_defense has 5148 (30.5%) missing valuesMissing
interceptions_home_forward has 5148 (30.5%) missing valuesMissing
interceptions_home_goalkeeper has 5148 (30.5%) missing valuesMissing
interceptions_home_midfielder has 5148 (30.5%) missing valuesMissing
positioning_away_defense has 5148 (30.5%) missing valuesMissing
positioning_away_forward has 5148 (30.5%) missing valuesMissing
positioning_away_goalkeeper has 5148 (30.5%) missing valuesMissing
positioning_away_midfielder has 5148 (30.5%) missing valuesMissing
positioning_home_defense has 5148 (30.5%) missing valuesMissing
positioning_home_forward has 5148 (30.5%) missing valuesMissing
positioning_home_goalkeeper has 5148 (30.5%) missing valuesMissing
positioning_home_midfielder has 5148 (30.5%) missing valuesMissing
vision_away_defense has 5148 (30.5%) missing valuesMissing
vision_away_forward has 5148 (30.5%) missing valuesMissing
vision_away_goalkeeper has 5148 (30.5%) missing valuesMissing
vision_away_midfielder has 5148 (30.5%) missing valuesMissing
vision_home_defense has 5148 (30.5%) missing valuesMissing
vision_home_forward has 5148 (30.5%) missing valuesMissing
vision_home_goalkeeper has 5148 (30.5%) missing valuesMissing
vision_home_midfielder has 5148 (30.5%) missing valuesMissing
penalties_away_defense has 5148 (30.5%) missing valuesMissing
penalties_away_forward has 5148 (30.5%) missing valuesMissing
penalties_away_goalkeeper has 5148 (30.5%) missing valuesMissing
penalties_away_midfielder has 5148 (30.5%) missing valuesMissing
penalties_home_defense has 5148 (30.5%) missing valuesMissing
penalties_home_forward has 5148 (30.5%) missing valuesMissing
penalties_home_goalkeeper has 5148 (30.5%) missing valuesMissing
penalties_home_midfielder has 5148 (30.5%) missing valuesMissing
marking_away_defense has 5148 (30.5%) missing valuesMissing
marking_away_forward has 5148 (30.5%) missing valuesMissing
marking_away_goalkeeper has 5148 (30.5%) missing valuesMissing
marking_away_midfielder has 5148 (30.5%) missing valuesMissing
marking_home_defense has 5148 (30.5%) missing valuesMissing
marking_home_forward has 5148 (30.5%) missing valuesMissing
marking_home_goalkeeper has 5148 (30.5%) missing valuesMissing
marking_home_midfielder has 5148 (30.5%) missing valuesMissing
standing_tackle_away_defense has 5148 (30.5%) missing valuesMissing
standing_tackle_away_forward has 5148 (30.5%) missing valuesMissing
standing_tackle_away_goalkeeper has 5148 (30.5%) missing valuesMissing
standing_tackle_away_midfielder has 5148 (30.5%) missing valuesMissing
standing_tackle_home_defense has 5148 (30.5%) missing valuesMissing
standing_tackle_home_forward has 5148 (30.5%) missing valuesMissing
standing_tackle_home_goalkeeper has 5148 (30.5%) missing valuesMissing
standing_tackle_home_midfielder has 5148 (30.5%) missing valuesMissing
sliding_tackle_away_defense has 5148 (30.5%) missing valuesMissing
sliding_tackle_away_forward has 5148 (30.5%) missing valuesMissing
sliding_tackle_away_goalkeeper has 5148 (30.5%) missing valuesMissing
sliding_tackle_away_midfielder has 5148 (30.5%) missing valuesMissing
sliding_tackle_home_defense has 5148 (30.5%) missing valuesMissing
sliding_tackle_home_forward has 5148 (30.5%) missing valuesMissing
sliding_tackle_home_goalkeeper has 5148 (30.5%) missing valuesMissing
sliding_tackle_home_midfielder has 5148 (30.5%) missing valuesMissing
gk_diving_away_defense has 5148 (30.5%) missing valuesMissing
gk_diving_away_forward has 5148 (30.5%) missing valuesMissing
gk_diving_away_goalkeeper has 5148 (30.5%) missing valuesMissing
gk_diving_away_midfielder has 5148 (30.5%) missing valuesMissing
gk_diving_home_defense has 5148 (30.5%) missing valuesMissing
gk_diving_home_forward has 5148 (30.5%) missing valuesMissing
gk_diving_home_goalkeeper has 5148 (30.5%) missing valuesMissing
gk_diving_home_midfielder has 5148 (30.5%) missing valuesMissing
gk_handling_away_defense has 5148 (30.5%) missing valuesMissing
gk_handling_away_forward has 5148 (30.5%) missing valuesMissing
gk_handling_away_goalkeeper has 5148 (30.5%) missing valuesMissing
gk_handling_away_midfielder has 5148 (30.5%) missing valuesMissing
gk_handling_home_defense has 5148 (30.5%) missing valuesMissing
gk_handling_home_forward has 5148 (30.5%) missing valuesMissing
gk_handling_home_goalkeeper has 5148 (30.5%) missing valuesMissing
gk_handling_home_midfielder has 5148 (30.5%) missing valuesMissing
gk_kicking_away_defense has 5148 (30.5%) missing valuesMissing
gk_kicking_away_forward has 5148 (30.5%) missing valuesMissing
gk_kicking_away_goalkeeper has 5148 (30.5%) missing valuesMissing
gk_kicking_away_midfielder has 5148 (30.5%) missing valuesMissing
gk_kicking_home_defense has 5148 (30.5%) missing valuesMissing
gk_kicking_home_forward has 5148 (30.5%) missing valuesMissing
gk_kicking_home_goalkeeper has 5148 (30.5%) missing valuesMissing
gk_kicking_home_midfielder has 5148 (30.5%) missing valuesMissing
gk_positioning_away_defense has 5148 (30.5%) missing valuesMissing
gk_positioning_away_forward has 5148 (30.5%) missing valuesMissing
gk_positioning_away_goalkeeper has 5148 (30.5%) missing valuesMissing
gk_positioning_away_midfielder has 5148 (30.5%) missing valuesMissing
gk_positioning_home_defense has 5148 (30.5%) missing valuesMissing
gk_positioning_home_forward has 5148 (30.5%) missing valuesMissing
gk_positioning_home_goalkeeper has 5148 (30.5%) missing valuesMissing
gk_positioning_home_midfielder has 5148 (30.5%) missing valuesMissing
gk_reflexes_away_defense has 5148 (30.5%) missing valuesMissing
gk_reflexes_away_forward has 5148 (30.5%) missing valuesMissing
gk_reflexes_away_goalkeeper has 5148 (30.5%) missing valuesMissing
gk_reflexes_away_midfielder has 5148 (30.5%) missing valuesMissing
gk_reflexes_home_defense has 5148 (30.5%) missing valuesMissing
gk_reflexes_home_forward has 5148 (30.5%) missing valuesMissing
gk_reflexes_home_goalkeeper has 5148 (30.5%) missing valuesMissing
gk_reflexes_home_midfielder has 5148 (30.5%) missing valuesMissing
count_away_defense has 5148 (30.5%) missing valuesMissing
count_away_forward has 5148 (30.5%) missing valuesMissing
count_away_goalkeeper has 5148 (30.5%) missing valuesMissing
count_away_midfielder has 5148 (30.5%) missing valuesMissing
count_home_defense has 5148 (30.5%) missing valuesMissing
count_home_forward has 5148 (30.5%) missing valuesMissing
count_home_goalkeeper has 5148 (30.5%) missing valuesMissing
count_home_midfielder has 5148 (30.5%) missing valuesMissing
overall_rating_away_goalkeeper has 261 (1.5%) zerosZeros
overall_rating_home_goalkeeper has 246 (1.5%) zerosZeros
potential_away_goalkeeper has 261 (1.5%) zerosZeros
potential_home_goalkeeper has 246 (1.5%) zerosZeros
attacking_work_rate_away_forward has 200 (1.2%) zerosZeros
attacking_work_rate_away_goalkeeper has 398 (2.4%) zerosZeros
attacking_work_rate_home_forward has 209 (1.2%) zerosZeros
attacking_work_rate_home_goalkeeper has 401 (2.4%) zerosZeros
defensive_work_rate_away_goalkeeper has 261 (1.5%) zerosZeros
defensive_work_rate_home_goalkeeper has 246 (1.5%) zerosZeros
crossing_away_goalkeeper has 261 (1.5%) zerosZeros
crossing_home_goalkeeper has 246 (1.5%) zerosZeros
finishing_away_goalkeeper has 261 (1.5%) zerosZeros
finishing_home_goalkeeper has 246 (1.5%) zerosZeros
heading_accuracy_away_goalkeeper has 261 (1.5%) zerosZeros
heading_accuracy_home_goalkeeper has 246 (1.5%) zerosZeros
short_passing_away_goalkeeper has 261 (1.5%) zerosZeros
short_passing_home_goalkeeper has 246 (1.5%) zerosZeros
volleys_away_goalkeeper has 261 (1.5%) zerosZeros
volleys_home_goalkeeper has 246 (1.5%) zerosZeros
dribbling_away_goalkeeper has 261 (1.5%) zerosZeros
dribbling_home_goalkeeper has 246 (1.5%) zerosZeros
curve_away_goalkeeper has 261 (1.5%) zerosZeros
curve_home_goalkeeper has 246 (1.5%) zerosZeros
free_kick_accuracy_away_goalkeeper has 261 (1.5%) zerosZeros
free_kick_accuracy_home_goalkeeper has 246 (1.5%) zerosZeros
long_passing_away_goalkeeper has 261 (1.5%) zerosZeros
long_passing_home_goalkeeper has 246 (1.5%) zerosZeros
ball_control_away_goalkeeper has 261 (1.5%) zerosZeros
ball_control_home_goalkeeper has 246 (1.5%) zerosZeros
acceleration_away_goalkeeper has 261 (1.5%) zerosZeros
acceleration_home_goalkeeper has 246 (1.5%) zerosZeros
sprint_speed_away_goalkeeper has 261 (1.5%) zerosZeros
sprint_speed_home_goalkeeper has 246 (1.5%) zerosZeros
agility_away_goalkeeper has 261 (1.5%) zerosZeros
agility_home_goalkeeper has 246 (1.5%) zerosZeros
reactions_away_goalkeeper has 261 (1.5%) zerosZeros
reactions_home_goalkeeper has 246 (1.5%) zerosZeros
balance_away_goalkeeper has 261 (1.5%) zerosZeros
balance_home_goalkeeper has 246 (1.5%) zerosZeros
shot_power_away_goalkeeper has 261 (1.5%) zerosZeros
shot_power_home_goalkeeper has 246 (1.5%) zerosZeros
jumping_away_goalkeeper has 261 (1.5%) zerosZeros
jumping_home_goalkeeper has 246 (1.5%) zerosZeros
stamina_away_goalkeeper has 261 (1.5%) zerosZeros
stamina_home_goalkeeper has 246 (1.5%) zerosZeros
strength_away_goalkeeper has 261 (1.5%) zerosZeros
strength_home_goalkeeper has 246 (1.5%) zerosZeros
long_shots_away_goalkeeper has 261 (1.5%) zerosZeros
long_shots_home_goalkeeper has 246 (1.5%) zerosZeros
aggression_away_goalkeeper has 261 (1.5%) zerosZeros
aggression_home_goalkeeper has 246 (1.5%) zerosZeros
interceptions_away_goalkeeper has 261 (1.5%) zerosZeros
interceptions_home_goalkeeper has 246 (1.5%) zerosZeros
positioning_away_goalkeeper has 261 (1.5%) zerosZeros
positioning_home_goalkeeper has 246 (1.5%) zerosZeros
vision_away_goalkeeper has 261 (1.5%) zerosZeros
vision_home_goalkeeper has 246 (1.5%) zerosZeros
penalties_away_goalkeeper has 261 (1.5%) zerosZeros
penalties_home_goalkeeper has 246 (1.5%) zerosZeros
marking_away_goalkeeper has 261 (1.5%) zerosZeros
marking_home_goalkeeper has 246 (1.5%) zerosZeros
standing_tackle_away_goalkeeper has 261 (1.5%) zerosZeros
standing_tackle_home_goalkeeper has 246 (1.5%) zerosZeros
sliding_tackle_away_goalkeeper has 261 (1.5%) zerosZeros
sliding_tackle_home_goalkeeper has 246 (1.5%) zerosZeros
gk_diving_away_goalkeeper has 261 (1.5%) zerosZeros
gk_diving_home_goalkeeper has 246 (1.5%) zerosZeros
gk_handling_away_goalkeeper has 261 (1.5%) zerosZeros
gk_handling_home_goalkeeper has 246 (1.5%) zerosZeros
gk_kicking_away_goalkeeper has 261 (1.5%) zerosZeros
gk_kicking_home_goalkeeper has 246 (1.5%) zerosZeros
gk_positioning_away_goalkeeper has 261 (1.5%) zerosZeros
gk_positioning_home_goalkeeper has 246 (1.5%) zerosZeros
gk_reflexes_away_goalkeeper has 261 (1.5%) zerosZeros
gk_reflexes_home_goalkeeper has 246 (1.5%) zerosZeros
count_away_defense has 741 (4.4%) zerosZeros
count_away_forward has 4203 (24.9%) zerosZeros
count_away_goalkeeper has 11750 (69.5%) zerosZeros
count_away_midfielder has 2701 (16.0%) zerosZeros
count_home_defense has 707 (4.2%) zerosZeros
count_home_forward has 3980 (23.6%) zerosZeros
count_home_goalkeeper has 11750 (69.5%) zerosZeros
count_home_midfielder has 2703 (16.0%) zerosZeros

Reproduction

Analysis started2023-05-05 16:08:15.096564
Analysis finished2023-05-05 16:08:17.508808
Duration2.41 seconds
Software versionydata-profiling vv4.1.2
Download configurationconfig.json

Variables

Distinct274
Distinct (%)2.3%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.6958709183
Minimum0
Maximum0.9974293059
Zeros8
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:17.640766image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.498714653
Q10.6555269923
median0.7197943445
Q30.7609254499
95-th percentile0.822622108
Maximum0.9974293059
Range0.9974293059
Interquartile range (IQR)0.1053984576

Descriptive statistics

Standard deviation0.1060971571
Coefficient of variation (CV)0.1524667209
Kurtosis4.930597389
Mean0.6958709183
Median Absolute Deviation (MAD)0.05141388175
Skewness-1.635358688
Sum8176.48329
Variance0.01125660674
MonotonicityNot monotonic
2023-05-05T18:08:17.868694image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7429305913 203
 
1.2%
0.7480719794 202
 
1.2%
0.7506426735 198
 
1.2%
0.7326478149 193
 
1.1%
0.735218509 192
 
1.1%
0.7532133676 188
 
1.1%
0.763496144 185
 
1.1%
0.7377892031 185
 
1.1%
0.7300771208 180
 
1.1%
0.7686375321 176
 
1.0%
Other values (264) 9848
58.3%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 8
< 0.1%
0.1311053985 3
 
< 0.1%
0.1491002571 1
 
< 0.1%
0.1516709512 5
< 0.1%
0.1542416452 4
< 0.1%
ValueCountFrequency (%)
0.9974293059 1
< 0.1%
0.9948586118 1
< 0.1%
0.9768637532 1
< 0.1%
0.9742930591 1
< 0.1%
0.9665809769 2
< 0.1%
Distinct208
Distinct (%)1.8%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4860214319
Minimum0
Maximum1
Zeros108
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:18.057635image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2335766423
Q10.2737226277
median0.496350365
Q30.6094890511
95-th percentile0.8540145985
Maximum1
Range1
Interquartile range (IQR)0.3357664234

Descriptive statistics

Standard deviation0.2167172489
Coefficient of variation (CV)0.4459006017
Kurtosis-0.9752031028
Mean0.4860214319
Median Absolute Deviation (MAD)0.2189781022
Skewness0.2996733998
Sum5710.751825
Variance0.04696636598
MonotonicityNot monotonic
2023-05-05T18:08:18.251572image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2700729927 320
 
1.9%
0.2737226277 294
 
1.7%
0.2664233577 285
 
1.7%
0.2773722628 267
 
1.6%
0.2627737226 252
 
1.5%
0.2591240876 241
 
1.4%
0.2810218978 216
 
1.3%
0.2554744526 215
 
1.3%
0.2481751825 188
 
1.1%
0.2518248175 187
 
1.1%
Other values (198) 9285
54.9%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 108
0.6%
0.1678832117 4
 
< 0.1%
0.1861313869 7
 
< 0.1%
0.1897810219 7
 
< 0.1%
0.1934306569 5
 
< 0.1%
ValueCountFrequency (%)
1 6
< 0.1%
0.996350365 1
 
< 0.1%
0.9927007299 1
 
< 0.1%
0.9781021898 6
< 0.1%
0.9744525547 2
 
< 0.1%

overall_rating_away_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct46
Distinct (%)0.4%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.7822660744
Minimum0
Maximum1
Zeros261
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:18.438609image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.6483516484
Q10.7362637363
median0.8021978022
Q30.8571428571
95-th percentile0.9230769231
Maximum1
Range1
Interquartile range (IQR)0.1208791209

Descriptive statistics

Standard deviation0.141063809
Coefficient of variation (CV)0.1803271466
Kurtosis18.27726481
Mean0.7822660744
Median Absolute Deviation (MAD)0.05494505495
Skewness-3.719802757
Sum9191.626374
Variance0.01989899822
MonotonicityNot monotonic
2023-05-05T18:08:18.625578image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0.8131868132 763
 
4.5%
0.8351648352 634
 
3.8%
0.8241758242 631
 
3.7%
0.7802197802 594
 
3.5%
0.8461538462 589
 
3.5%
0.8681318681 545
 
3.2%
0.8571428571 532
 
3.1%
0.7912087912 529
 
3.1%
0.8021978022 488
 
2.9%
0.7692307692 470
 
2.8%
Other values (36) 5975
35.4%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 261
1.5%
0.4725274725 2
 
< 0.1%
0.5164835165 1
 
< 0.1%
0.5384615385 8
 
< 0.1%
0.5494505495 9
 
0.1%
ValueCountFrequency (%)
1 14
 
0.1%
0.989010989 33
0.2%
0.978021978 28
0.2%
0.967032967 21
0.1%
0.956043956 41
0.2%
Distinct335
Distinct (%)2.9%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5846602608
Minimum0
Maximum0.9012096774
Zeros6
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:18.810587image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3931451613
Q10.4717741935
median0.5887096774
Q30.7016129032
95-th percentile0.7883064516
Maximum0.9012096774
Range0.9012096774
Interquartile range (IQR)0.2298387097

Descriptive statistics

Standard deviation0.1351657783
Coefficient of variation (CV)0.2311868743
Kurtosis-0.4140213847
Mean0.5846602608
Median Absolute Deviation (MAD)0.1149193548
Skewness-0.1996585348
Sum6869.758065
Variance0.01826978761
MonotonicityNot monotonic
2023-05-05T18:08:18.977585image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4133064516 92
 
0.5%
0.7379032258 88
 
0.5%
0.7338709677 86
 
0.5%
0.5846774194 86
 
0.5%
0.6129032258 84
 
0.5%
0.5927419355 83
 
0.5%
0.6028225806 83
 
0.5%
0.5987903226 83
 
0.5%
0.5685483871 82
 
0.5%
0.7278225806 82
 
0.5%
Other values (325) 10901
64.5%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 6
< 0.1%
0.1028225806 4
< 0.1%
0.1129032258 1
 
< 0.1%
0.1169354839 1
 
< 0.1%
0.1209677419 4
< 0.1%
ValueCountFrequency (%)
0.9012096774 1
 
< 0.1%
0.8991935484 1
 
< 0.1%
0.8810483871 1
 
< 0.1%
0.877016129 5
< 0.1%
0.872983871 1
 
< 0.1%
Distinct275
Distinct (%)2.3%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.6919603853
Minimum0
Maximum1
Zeros11
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:19.179574image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4961636829
Q10.652173913
median0.716112532
Q30.7595907928
95-th percentile0.8158567775
Maximum1
Range1
Interquartile range (IQR)0.1074168798

Descriptive statistics

Standard deviation0.1058150708
Coefficient of variation (CV)0.1529207063
Kurtosis5.417533259
Mean0.6919603853
Median Absolute Deviation (MAD)0.05115089514
Skewness-1.731594818
Sum8130.534527
Variance0.01119682922
MonotonicityNot monotonic
2023-05-05T18:08:19.407586image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7314578005 205
 
1.2%
0.7289002558 203
 
1.2%
0.7391304348 201
 
1.2%
0.7340153453 200
 
1.2%
0.726342711 187
 
1.1%
0.7468030691 185
 
1.1%
0.7442455243 180
 
1.1%
0.73657289 178
 
1.1%
0.7595907928 176
 
1.0%
0.7493606138 173
 
1.0%
Other values (265) 9862
58.4%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 11
0.1%
0.1304347826 4
 
< 0.1%
0.1355498721 1
 
< 0.1%
0.1406649616 1
 
< 0.1%
0.1457800512 1
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9923273657 1
< 0.1%
0.9718670077 1
< 0.1%
0.9641943734 2
< 0.1%
0.9616368286 1
< 0.1%
Distinct209
Distinct (%)1.8%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4909864886
Minimum0
Maximum1
Zeros113
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:19.615026image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2335766423
Q10.2773722628
median0.503649635
Q30.6094890511
95-th percentile0.8503649635
Maximum1
Range1
Interquartile range (IQR)0.3321167883

Descriptive statistics

Standard deviation0.2138909306
Coefficient of variation (CV)0.4356350645
Kurtosis-0.9452575209
Mean0.4909864886
Median Absolute Deviation (MAD)0.2189781022
Skewness0.2470100009
Sum5769.091241
Variance0.0457493302
MonotonicityNot monotonic
2023-05-05T18:08:19.847952image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2773722628 288
 
1.7%
0.2700729927 273
 
1.6%
0.2737226277 251
 
1.5%
0.2664233577 248
 
1.5%
0.2627737226 228
 
1.3%
0.2810218978 217
 
1.3%
0.2591240876 216
 
1.3%
0.2554744526 207
 
1.2%
0.2518248175 177
 
1.0%
0.2481751825 175
 
1.0%
Other values (199) 9470
56.0%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 113
0.7%
0.1751824818 1
 
< 0.1%
0.1788321168 3
 
< 0.1%
0.1824817518 2
 
< 0.1%
0.1861313869 6
 
< 0.1%
ValueCountFrequency (%)
1 3
< 0.1%
0.996350365 4
< 0.1%
0.9781021898 6
< 0.1%
0.9744525547 1
 
< 0.1%
0.9708029197 3
< 0.1%

overall_rating_home_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct46
Distinct (%)0.4%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.7838007949
Minimum0
Maximum1
Zeros246
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:20.036892image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.6593406593
Q10.7362637363
median0.8021978022
Q30.8571428571
95-th percentile0.9120879121
Maximum1
Range1
Interquartile range (IQR)0.1208791209

Descriptive statistics

Standard deviation0.1379825115
Coefficient of variation (CV)0.1760428318
Kurtosis19.08410199
Mean0.7838007949
Median Absolute Deviation (MAD)0.05494505495
Skewness-3.774425857
Sum9209.659341
Variance0.01903917348
MonotonicityNot monotonic
2023-05-05T18:08:20.269817image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0.8131868132 767
 
4.5%
0.8351648352 654
 
3.9%
0.8241758242 647
 
3.8%
0.8461538462 577
 
3.4%
0.7802197802 565
 
3.3%
0.8681318681 561
 
3.3%
0.7912087912 530
 
3.1%
0.8571428571 518
 
3.1%
0.8021978022 506
 
3.0%
0.7692307692 488
 
2.9%
Other values (36) 5937
35.1%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 246
1.5%
0.4725274725 4
 
< 0.1%
0.5164835165 1
 
< 0.1%
0.5384615385 9
 
0.1%
0.5494505495 8
 
< 0.1%
ValueCountFrequency (%)
1 16
0.1%
0.989010989 25
0.1%
0.978021978 28
0.2%
0.967032967 20
0.1%
0.956043956 36
0.2%
Distinct335
Distinct (%)2.9%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5741396488
Minimum0
Maximum1
Zeros12
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:20.489747image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3849206349
Q10.4642857143
median0.5793650794
Q30.6884920635
95-th percentile0.7757936508
Maximum1
Range1
Interquartile range (IQR)0.2242063492

Descriptive statistics

Standard deviation0.1326454812
Coefficient of variation (CV)0.2310334802
Kurtosis-0.3248573923
Mean0.5741396488
Median Absolute Deviation (MAD)0.1111111111
Skewness-0.1895829354
Sum6746.140873
Variance0.01759482368
MonotonicityNot monotonic
2023-05-05T18:08:20.707679image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5833333333 100
 
0.6%
0.6031746032 98
 
0.6%
0.5853174603 97
 
0.6%
0.5753968254 92
 
0.5%
0.5892857143 92
 
0.5%
0.5873015873 90
 
0.5%
0.5813492063 86
 
0.5%
0.5992063492 84
 
0.5%
0.7202380952 83
 
0.5%
0.6071428571 82
 
0.5%
Other values (325) 10846
64.2%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 12
0.1%
0.1011904762 3
 
< 0.1%
0.1111111111 1
 
< 0.1%
0.1150793651 2
 
< 0.1%
0.1170634921 1
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9722222222 1
< 0.1%
0.8869047619 1
< 0.1%
0.869047619 2
< 0.1%
0.8670634921 2
< 0.1%

potential_away_defense
Real number (ℝ)

Distinct275
Distinct (%)2.3%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.6989349248
Minimum0
Maximum0.987804878
Zeros8
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:20.897617image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.5048780488
Q10.6609756098
median0.7219512195
Q30.7609756098
95-th percentile0.8170731707
Maximum0.987804878
Range0.987804878
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation0.1034366939
Coefficient of variation (CV)0.1479918806
Kurtosis5.417192626
Mean0.6989349248
Median Absolute Deviation (MAD)0.0487804878
Skewness-1.732961487
Sum8212.485366
Variance0.01069914965
MonotonicityNot monotonic
2023-05-05T18:08:21.101588image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.756097561 205
 
1.2%
0.7512195122 188
 
1.1%
0.7414634146 187
 
1.1%
0.743902439 187
 
1.1%
0.7463414634 185
 
1.1%
0.7292682927 180
 
1.1%
0.7341463415 180
 
1.1%
0.7487804878 178
 
1.1%
0.7390243902 178
 
1.1%
0.7243902439 177
 
1.0%
Other values (265) 9905
58.6%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 8
< 0.1%
0.1463414634 3
 
< 0.1%
0.1512195122 3
 
< 0.1%
0.1536585366 2
 
< 0.1%
0.156097561 6
< 0.1%
ValueCountFrequency (%)
0.987804878 1
 
< 0.1%
0.9853658537 1
 
< 0.1%
0.9829268293 3
< 0.1%
0.9780487805 2
< 0.1%
0.9756097561 1
 
< 0.1%

potential_away_forward
Real number (ℝ)

Distinct200
Distinct (%)1.7%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5088626971
Minimum0
Maximum1
Zeros108
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:21.317594image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2410071942
Q10.2841726619
median0.5251798561
Q30.6294964029
95-th percentile0.8884892086
Maximum1
Range1
Interquartile range (IQR)0.345323741

Descriptive statistics

Standard deviation0.227194973
Coefficient of variation (CV)0.4464759831
Kurtosis-1.01955565
Mean0.5088626971
Median Absolute Deviation (MAD)0.2338129496
Skewness0.278391014
Sum5979.136691
Variance0.05161755574
MonotonicityNot monotonic
2023-05-05T18:08:21.507628image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2805755396 317
 
1.9%
0.2769784173 296
 
1.8%
0.2877697842 264
 
1.6%
0.2913669065 254
 
1.5%
0.273381295 253
 
1.5%
0.2697841727 230
 
1.4%
0.2661870504 230
 
1.4%
0.2841726619 224
 
1.3%
0.2625899281 218
 
1.3%
0.2949640288 193
 
1.1%
Other values (190) 9271
54.9%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 108
0.6%
0.1978417266 2
 
< 0.1%
0.2014388489 6
 
< 0.1%
0.2050359712 7
 
< 0.1%
0.2086330935 6
 
< 0.1%
ValueCountFrequency (%)
1 9
0.1%
0.9964028777 6
< 0.1%
0.9928057554 13
0.1%
0.9892086331 3
 
< 0.1%
0.9856115108 1
 
< 0.1%

potential_away_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct41
Distinct (%)0.3%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.8020288264
Minimum0
Maximum1
Zeros261
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:21.681632image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.6666666667
Q10.7634408602
median0.8172043011
Q30.8817204301
95-th percentile0.935483871
Maximum1
Range1
Interquartile range (IQR)0.1182795699

Descriptive statistics

Standard deviation0.142794605
Coefficient of variation (CV)0.1780417365
Kurtosis19.33695482
Mean0.8020288264
Median Absolute Deviation (MAD)0.05376344086
Skewness-3.866321028
Sum9423.83871
Variance0.02039029921
MonotonicityNot monotonic
2023-05-05T18:08:21.846635image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0.8387096774 661
 
3.9%
0.7956989247 624
 
3.7%
0.8172043011 624
 
3.7%
0.8064516129 605
 
3.6%
0.8494623656 594
 
3.5%
0.8924731183 564
 
3.3%
0.8709677419 539
 
3.2%
0.8602150538 530
 
3.1%
0.8817204301 508
 
3.0%
0.9032258065 506
 
3.0%
Other values (31) 5995
35.5%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 261
1.5%
0.5483870968 2
 
< 0.1%
0.5806451613 1
 
< 0.1%
0.5913978495 18
 
0.1%
0.6129032258 5
 
< 0.1%
ValueCountFrequency (%)
1 10
 
0.1%
0.9892473118 63
0.4%
0.9784946237 47
 
0.3%
0.9677419355 131
0.8%
0.9569892473 84
0.5%

potential_away_midfielder
Real number (ℝ)

Distinct335
Distinct (%)2.9%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.6119539007
Minimum0
Maximum0.9603174603
Zeros6
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:22.041598image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4107142857
Q10.494047619
median0.6170634921
Q30.7356150794
95-th percentile0.8174603175
Maximum0.9603174603
Range0.9603174603
Interquartile range (IQR)0.2415674603

Descriptive statistics

Standard deviation0.1380544266
Coefficient of variation (CV)0.2255961215
Kurtosis-0.41773614
Mean0.6119539007
Median Absolute Deviation (MAD)0.119047619
Skewness-0.2492709417
Sum7190.458333
Variance0.01905902469
MonotonicityNot monotonic
2023-05-05T18:08:22.254106image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6130952381 102
 
0.6%
0.6150793651 88
 
0.5%
0.4583333333 85
 
0.5%
0.623015873 85
 
0.5%
0.7619047619 84
 
0.5%
0.6051587302 82
 
0.5%
0.751984127 81
 
0.5%
0.7678571429 80
 
0.5%
0.5972222222 79
 
0.5%
0.6448412698 79
 
0.5%
Other values (325) 10905
64.5%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 6
< 0.1%
0.128968254 5
< 0.1%
0.130952381 1
 
< 0.1%
0.1329365079 7
< 0.1%
0.1369047619 3
< 0.1%
ValueCountFrequency (%)
0.9603174603 1
< 0.1%
0.9424603175 1
< 0.1%
0.9107142857 1
< 0.1%
0.9027777778 1
< 0.1%
0.8948412698 1
< 0.1%

potential_home_defense
Real number (ℝ)

Distinct281
Distinct (%)2.4%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.6916908213
Minimum0
Maximum1
Zeros11
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:22.436049image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.5024154589
Q10.654589372
median0.7149758454
Q30.7536231884
95-th percentile0.806763285
Maximum1
Range1
Interquartile range (IQR)0.09903381643

Descriptive statistics

Standard deviation0.1024513505
Coefficient of variation (CV)0.1481172619
Kurtosis5.984246804
Mean0.6916908213
Median Absolute Deviation (MAD)0.04830917874
Skewness-1.829888889
Sum8127.36715
Variance0.01049627923
MonotonicityNot monotonic
2023-05-05T18:08:22.617990image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7439613527 202
 
1.2%
0.7487922705 202
 
1.2%
0.7391304348 198
 
1.2%
0.7270531401 195
 
1.2%
0.7367149758 190
 
1.1%
0.7512077295 189
 
1.1%
0.7415458937 188
 
1.1%
0.7342995169 182
 
1.1%
0.7198067633 179
 
1.1%
0.7149758454 176
 
1.0%
Other values (271) 9849
58.3%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 11
0.1%
0.1449275362 3
 
< 0.1%
0.1473429952 1
 
< 0.1%
0.1497584541 5
< 0.1%
0.152173913 1
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9951690821 1
< 0.1%
0.9855072464 2
< 0.1%
0.9806763285 1
< 0.1%
0.9734299517 1
< 0.1%

potential_home_forward
Real number (ℝ)

Distinct202
Distinct (%)1.7%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5138365223
Minimum0
Maximum1
Zeros113
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:22.798933image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2410071942
Q10.2877697842
median0.5323741007
Q30.6294964029
95-th percentile0.8884892086
Maximum1
Range1
Interquartile range (IQR)0.3417266187

Descriptive statistics

Standard deviation0.2242867588
Coefficient of variation (CV)0.436494389
Kurtosis-0.9816195655
Mean0.5138365223
Median Absolute Deviation (MAD)0.2374100719
Skewness0.2308063045
Sum6037.579137
Variance0.05030455019
MonotonicityNot monotonic
2023-05-05T18:08:22.972877image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2805755396 295
 
1.7%
0.273381295 270
 
1.6%
0.2769784173 247
 
1.5%
0.2913669065 230
 
1.4%
0.2877697842 227
 
1.3%
0.2841726619 223
 
1.3%
0.2661870504 218
 
1.3%
0.2697841727 214
 
1.3%
0.2949640288 203
 
1.2%
0.2625899281 182
 
1.1%
Other values (192) 9441
55.9%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 113
0.7%
0.1942446043 2
 
< 0.1%
0.1978417266 1
 
< 0.1%
0.2014388489 9
 
0.1%
0.2050359712 14
 
0.1%
ValueCountFrequency (%)
1 7
< 0.1%
0.9964028777 4
< 0.1%
0.9928057554 8
< 0.1%
0.9892086331 6
< 0.1%
0.9856115108 2
 
< 0.1%

potential_home_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct43
Distinct (%)0.4%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.8034298787
Minimum0
Maximum1
Zeros246
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:23.144822image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.6666666667
Q10.7634408602
median0.8172043011
Q30.8817204301
95-th percentile0.935483871
Maximum1
Range1
Interquartile range (IQR)0.1182795699

Descriptive statistics

Standard deviation0.139580463
Coefficient of variation (CV)0.1737307345
Kurtosis20.22338022
Mean0.8034298787
Median Absolute Deviation (MAD)0.05376344086
Skewness-3.928368376
Sum9440.301075
Variance0.01948270565
MonotonicityNot monotonic
2023-05-05T18:08:23.326765image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0.7956989247 682
 
4.0%
0.8387096774 614
 
3.6%
0.8924731183 613
 
3.6%
0.8064516129 607
 
3.6%
0.8172043011 589
 
3.5%
0.8602150538 572
 
3.4%
0.8494623656 563
 
3.3%
0.8709677419 563
 
3.3%
0.8817204301 552
 
3.3%
0.9032258065 506
 
3.0%
Other values (33) 5889
34.9%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 246
1.5%
0.5483870968 4
 
< 0.1%
0.5698924731 1
 
< 0.1%
0.5806451613 1
 
< 0.1%
0.5913978495 12
 
0.1%
ValueCountFrequency (%)
1 7
 
< 0.1%
0.9892473118 61
0.4%
0.9784946237 37
 
0.2%
0.9677419355 122
0.7%
0.9569892473 81
0.5%

potential_home_midfielder
Real number (ℝ)

Distinct334
Distinct (%)2.8%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5964032657
Minimum0
Maximum1
Zeros12
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:23.506706image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4011627907
Q10.4825581395
median0.6007751938
Q30.7151162791
95-th percentile0.7984496124
Maximum1
Range1
Interquartile range (IQR)0.2325581395

Descriptive statistics

Standard deviation0.1343997986
Coefficient of variation (CV)0.2253505411
Kurtosis-0.3069970795
Mean0.5964032657
Median Absolute Deviation (MAD)0.1162790698
Skewness-0.2409973242
Sum7007.738372
Variance0.01806330587
MonotonicityNot monotonic
2023-05-05T18:08:23.686650image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6085271318 97
 
0.6%
0.6065891473 88
 
0.5%
0.6162790698 87
 
0.5%
0.6201550388 85
 
0.5%
0.7480620155 84
 
0.5%
0.5833333333 82
 
0.5%
0.7558139535 80
 
0.5%
0.4379844961 80
 
0.5%
0.5891472868 79
 
0.5%
0.6220930233 79
 
0.5%
Other values (324) 10909
64.6%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 12
0.1%
0.1201550388 1
 
< 0.1%
0.1259689922 5
< 0.1%
0.1298449612 6
< 0.1%
0.1317829457 1
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9903100775 1
< 0.1%
0.9379844961 1
< 0.1%
0.8837209302 1
< 0.1%
0.8817829457 1
< 0.1%
Distinct30
Distinct (%)0.3%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5867684606
Minimum0
Maximum1
Zeros15
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:23.866615image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3073529412
Q10.5
median0.5882352941
Q30.6764705882
95-th percentile0.7647058824
Maximum1
Range1
Interquartile range (IQR)0.1764705882

Descriptive statistics

Standard deviation0.145508537
Coefficient of variation (CV)0.2479828872
Kurtosis0.6049646023
Mean0.5867684606
Median Absolute Deviation (MAD)0.08823529412
Skewness-0.6252466208
Sum6894.529412
Variance0.02117273434
MonotonicityNot monotonic
2023-05-05T18:08:24.022617image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0.5882352941 2955
17.5%
0.6764705882 2828
16.7%
0.7647058824 1490
 
8.8%
0.5 1229
 
7.3%
0.4411764706 875
 
5.2%
0.3529411765 427
 
2.5%
0.5294117647 381
 
2.3%
0.8529411765 332
 
2.0%
0.4117647059 287
 
1.7%
0.2941176471 217
 
1.3%
Other values (20) 729
 
4.3%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 15
 
0.1%
0.05882352941 13
 
0.1%
0.1176470588 11
 
0.1%
0.1470588235 83
0.5%
0.1764705882 31
 
0.2%
ValueCountFrequency (%)
1 9
 
0.1%
0.9411764706 17
 
0.1%
0.9117647059 34
 
0.2%
0.8529411765 332
2.0%
0.8235294118 24
 
0.1%

attacking_work_rate_away_forward
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)0.1%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.455251773
Minimum0
Maximum1
Zeros200
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:24.174630image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2083333333
Q10.2083333333
median0.4166666667
Q30.625
95-th percentile0.875
Maximum1
Range1
Interquartile range (IQR)0.4166666667

Descriptive statistics

Standard deviation0.2291142645
Coefficient of variation (CV)0.5032693514
Kurtosis-0.6452741709
Mean0.455251773
Median Absolute Deviation (MAD)0.2083333333
Skewness0.406426832
Sum5349.208333
Variance0.05249334621
MonotonicityNot monotonic
2023-05-05T18:08:24.317617image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.2083333333 3009
17.8%
0.5416666667 1845
 
10.9%
0.4166666667 1745
 
10.3%
0.3333333333 1486
 
8.8%
0.75 1019
 
6.0%
0.875 740
 
4.4%
0.625 662
 
3.9%
0.6666666667 569
 
3.4%
1 245
 
1.4%
0 200
 
1.2%
Other values (4) 230
 
1.4%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 200
 
1.2%
0.08333333333 105
 
0.6%
0.1666666667 1
 
< 0.1%
0.2083333333 3009
17.8%
0.2916666667 97
 
0.6%
ValueCountFrequency (%)
1 245
 
1.4%
0.875 740
4.4%
0.75 1019
6.0%
0.6666666667 569
3.4%
0.625 662
3.9%

attacking_work_rate_away_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.6037021277
Minimum0
Maximum1
Zeros398
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:24.444107image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.625
Q10.625
median0.625
Q30.625
95-th percentile0.625
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1133608654
Coefficient of variation (CV)0.1877761568
Kurtosis24.31453523
Mean0.6037021277
Median Absolute Deviation (MAD)0
Skewness-5.120114665
Sum7093.5
Variance0.0128506858
MonotonicityNot monotonic
2023-05-05T18:08:24.557070image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0.625 11346
67.1%
0 398
 
2.4%
0.25 5
 
< 0.1%
1 1
 
< 0.1%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 398
 
2.4%
0.25 5
 
< 0.1%
0.625 11346
67.1%
1 1
 
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.625 11346
67.1%
0.25 5
 
< 0.1%
0 398
 
2.4%
Distinct32
Distinct (%)0.3%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4740478723
Minimum0
Maximum1
Zeros12
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:24.699024image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2708333333
Q10.375
median0.4791666667
Q30.5833333333
95-th percentile0.7083333333
Maximum1
Range1
Interquartile range (IQR)0.2083333333

Descriptive statistics

Standard deviation0.1313152612
Coefficient of variation (CV)0.2770084391
Kurtosis-0.2720607857
Mean0.4740478723
Median Absolute Deviation (MAD)0.1041666667
Skewness-0.08767930569
Sum5570.0625
Variance0.01724369782
MonotonicityNot monotonic
2023-05-05T18:08:24.853975image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0.4791666667 1549
 
9.2%
0.3125 1548
 
9.2%
0.5833333333 1362
 
8.1%
0.4166666667 1298
 
7.7%
0.375 1126
 
6.7%
0.6458333333 1079
 
6.4%
0.5416666667 868
 
5.1%
0.5208333333 840
 
5.0%
0.7083333333 460
 
2.7%
0.4375 334
 
2.0%
Other values (22) 1286
 
7.6%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 12
 
0.1%
0.04166666667 10
 
0.1%
0.08333333333 1
 
< 0.1%
0.1041666667 52
0.3%
0.1458333333 32
0.2%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9375 1
 
< 0.1%
0.8333333333 19
 
0.1%
0.7708333333 142
 
0.8%
0.7083333333 460
2.7%
Distinct31
Distinct (%)0.3%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5391305348
Minimum0
Maximum1
Zeros16
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:25.011925image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2972972973
Q10.4594594595
median0.5405405405
Q30.6216216216
95-th percentile0.7027027027
Maximum1
Range1
Interquartile range (IQR)0.1621621622

Descriptive statistics

Standard deviation0.1340291979
Coefficient of variation (CV)0.2486024983
Kurtosis0.633627537
Mean0.5391305348
Median Absolute Deviation (MAD)0.08108108108
Skewness-0.6340878142
Sum6334.783784
Variance0.01796382588
MonotonicityNot monotonic
2023-05-05T18:08:25.167874image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0.5405405405 2955
17.5%
0.6216216216 2822
16.7%
0.7027027027 1509
 
8.9%
0.4594594595 1229
 
7.3%
0.4054054054 854
 
5.1%
0.3243243243 462
 
2.7%
0.4864864865 386
 
2.3%
0.7837837838 346
 
2.0%
0.3783783784 266
 
1.6%
0.2702702703 221
 
1.3%
Other values (21) 700
 
4.1%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 16
 
0.1%
0.05405405405 18
 
0.1%
0.1081081081 12
 
0.1%
0.1351351351 76
0.4%
0.1621621622 37
0.2%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9189189189 11
 
0.1%
0.8648648649 17
 
0.1%
0.8378378378 18
 
0.1%
0.7837837838 346
2.0%

attacking_work_rate_home_forward
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)0.1%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4583049645
Minimum0
Maximum1
Zeros209
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:25.314828image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2083333333
Q10.2083333333
median0.4166666667
Q30.625
95-th percentile0.875
Maximum1
Range1
Interquartile range (IQR)0.4166666667

Descriptive statistics

Standard deviation0.22561687
Coefficient of variation (CV)0.4922854594
Kurtosis-0.6384957269
Mean0.4583049645
Median Absolute Deviation (MAD)0.2083333333
Skewness0.3585291678
Sum5385.083333
Variance0.05090297202
MonotonicityNot monotonic
2023-05-05T18:08:25.444787image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.2083333333 2816
16.7%
0.4166666667 1909
 
11.3%
0.5416666667 1881
 
11.1%
0.3333333333 1423
 
8.4%
0.75 1049
 
6.2%
0.875 733
 
4.3%
0.625 657
 
3.9%
0.6666666667 605
 
3.6%
0 209
 
1.2%
1 206
 
1.2%
Other values (4) 262
 
1.6%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 209
 
1.2%
0.08333333333 103
 
0.6%
0.1666666667 1
 
< 0.1%
0.2083333333 2816
16.7%
0.2916666667 125
 
0.7%
ValueCountFrequency (%)
1 206
 
1.2%
0.875 733
4.3%
0.75 1049
6.2%
0.6666666667 605
3.6%
0.625 657
3.9%

attacking_work_rate_home_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.6033829787
Minimum0
Maximum1
Zeros401
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:25.570747image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.625
Q10.625
median0.625
Q30.625
95-th percentile0.625
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1141074697
Coefficient of variation (CV)0.1891128417
Kurtosis23.80965302
Mean0.6033829787
Median Absolute Deviation (MAD)0
Skewness-5.061347605
Sum7089.75
Variance0.01302051465
MonotonicityNot monotonic
2023-05-05T18:08:25.690709image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0.625 11336
67.1%
0 401
 
2.4%
0.25 11
 
0.1%
1 2
 
< 0.1%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 401
 
2.4%
0.25 11
 
0.1%
0.625 11336
67.1%
1 2
 
< 0.1%
ValueCountFrequency (%)
1 2
 
< 0.1%
0.625 11336
67.1%
0.25 11
 
0.1%
0 401
 
2.4%
Distinct33
Distinct (%)0.3%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4727287234
Minimum0
Maximum1
Zeros15
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:25.847658image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2708333333
Q10.375
median0.4791666667
Q30.5833333333
95-th percentile0.7083333333
Maximum1
Range1
Interquartile range (IQR)0.2083333333

Descriptive statistics

Standard deviation0.131142316
Coefficient of variation (CV)0.2774155865
Kurtosis-0.269826479
Mean0.4727287234
Median Absolute Deviation (MAD)0.1041666667
Skewness-0.06291537055
Sum5554.5625
Variance0.01719830706
MonotonicityNot monotonic
2023-05-05T18:08:26.032632image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0.4791666667 1627
 
9.6%
0.3125 1532
 
9.1%
0.5833333333 1304
 
7.7%
0.4166666667 1299
 
7.7%
0.375 1174
 
6.9%
0.6458333333 1007
 
6.0%
0.5416666667 904
 
5.3%
0.5208333333 750
 
4.4%
0.7083333333 507
 
3.0%
0.4375 330
 
2.0%
Other values (23) 1316
 
7.8%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 15
 
0.1%
0.04166666667 4
 
< 0.1%
0.1041666667 51
0.3%
0.1458333333 35
0.2%
0.1666666667 8
 
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.8333333333 19
 
0.1%
0.8125 2
 
< 0.1%
0.7708333333 132
0.8%
0.75 2
 
< 0.1%
Distinct27
Distinct (%)0.2%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5756825762
Minimum0
Maximum1
Zeros8
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:26.223657image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4054054054
Q10.5405405405
median0.5405405405
Q30.6216216216
95-th percentile0.7027027027
Maximum1
Range1
Interquartile range (IQR)0.08108108108

Descriptive statistics

Standard deviation0.1008656955
Coefficient of variation (CV)0.1752106102
Kurtosis2.703017363
Mean0.5756825762
Median Absolute Deviation (MAD)0.08108108108
Skewness-0.583709899
Sum6764.27027
Variance0.01017388852
MonotonicityNot monotonic
2023-05-05T18:08:26.370650image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0.5405405405 4529
26.8%
0.6216216216 3298
19.5%
0.7027027027 1373
 
8.1%
0.4054054054 698
 
4.1%
0.4864864865 415
 
2.5%
0.7837837838 371
 
2.2%
0.4594594595 279
 
1.7%
0.5675675676 215
 
1.3%
0.2702702703 115
 
0.7%
0.6486486486 65
 
0.4%
Other values (17) 392
 
2.3%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 8
 
< 0.1%
0.05405405405 3
 
< 0.1%
0.1351351351 45
0.3%
0.1891891892 11
 
0.1%
0.2162162162 7
 
< 0.1%
ValueCountFrequency (%)
1 3
 
< 0.1%
0.9189189189 5
 
< 0.1%
0.8648648649 44
 
0.3%
0.8378378378 30
 
0.2%
0.7837837838 371
2.2%
Distinct16
Distinct (%)0.1%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.3515744681
Minimum0
Maximum1
Zeros108
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:26.509702image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.08333333333
Q10.2083333333
median0.3333333333
Q30.5
95-th percentile0.625
Maximum1
Range1
Interquartile range (IQR)0.2916666667

Descriptive statistics

Standard deviation0.1795625242
Coefficient of variation (CV)0.5107382376
Kurtosis-0.3940816906
Mean0.3515744681
Median Absolute Deviation (MAD)0.125
Skewness0.4566782172
Sum4131
Variance0.0322427001
MonotonicityNot monotonic
2023-05-05T18:08:26.671674image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.2083333333 2993
17.7%
0.4166666667 2153
12.7%
0.2916666667 1344
 
8.0%
0.625 1121
 
6.6%
0.08333333333 1012
 
6.0%
0.5 865
 
5.1%
0.5416666667 517
 
3.1%
0.3333333333 494
 
2.9%
0.75 380
 
2.2%
0.375 321
 
1.9%
Other values (6) 550
 
3.3%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 108
 
0.6%
0.08333333333 1012
 
6.0%
0.1666666667 290
 
1.7%
0.2083333333 2993
17.7%
0.25 34
 
0.2%
ValueCountFrequency (%)
1 6
 
< 0.1%
0.875 64
 
0.4%
0.75 380
 
2.2%
0.6666666667 48
 
0.3%
0.625 1121
6.6%

defensive_work_rate_away_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.9777361702
Minimum0
Maximum1
Zeros261
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:26.805650image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1474773785
Coefficient of variation (CV)0.1508355556
Kurtosis39.95825919
Mean0.9777361702
Median Absolute Deviation (MAD)0
Skewness-6.476195248
Sum11488.4
Variance0.02174957717
MonotonicityNot monotonic
2023-05-05T18:08:26.918669image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 11488
68.0%
0 261
 
1.5%
0.4 1
 
< 0.1%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 261
 
1.5%
0.4 1
 
< 0.1%
1 11488
68.0%
ValueCountFrequency (%)
1 11488
68.0%
0.4 1
 
< 0.1%
0 261
 
1.5%
Distinct33
Distinct (%)0.3%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5511
Minimum0
Maximum1
Zeros6
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:27.067160image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.375
Q10.45
median0.55
Q30.65
95-th percentile0.775
Maximum1
Range1
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation0.132732021
Coefficient of variation (CV)0.2408492487
Kurtosis-0.03865314624
Mean0.5511
Median Absolute Deviation (MAD)0.1
Skewness-0.05003953779
Sum6475.425
Variance0.01761778939
MonotonicityNot monotonic
2023-05-05T18:08:27.240104image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0.5 1516
 
9.0%
0.625 1323
 
7.8%
0.575 1295
 
7.7%
0.7 1275
 
7.5%
0.375 1109
 
6.6%
0.45 1093
 
6.5%
0.775 632
 
3.7%
0.65 628
 
3.7%
0.55 622
 
3.7%
0.425 532
 
3.1%
Other values (23) 1725
 
10.2%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 6
 
< 0.1%
0.05 3
 
< 0.1%
0.1 1
 
< 0.1%
0.125 33
0.2%
0.15 1
 
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.925 38
 
0.2%
0.85 198
 
1.2%
0.8 17
 
0.1%
0.775 632
3.7%
Distinct25
Distinct (%)0.2%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5329404255
Minimum0
Maximum0.925
Zeros11
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:27.397054image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.375
Q10.5
median0.5
Q30.575
95-th percentile0.65
Maximum0.925
Range0.925
Interquartile range (IQR)0.075

Descriptive statistics

Standard deviation0.09325798367
Coefficient of variation (CV)0.1749876332
Kurtosis2.758175017
Mean0.5329404255
Median Absolute Deviation (MAD)0.075
Skewness-0.6179635471
Sum6262.05
Variance0.008697051519
MonotonicityNot monotonic
2023-05-05T18:08:27.540010image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.5 4497
26.6%
0.575 3278
19.4%
0.65 1447
 
8.6%
0.375 675
 
4.0%
0.45 462
 
2.7%
0.725 386
 
2.3%
0.425 277
 
1.6%
0.525 206
 
1.2%
0.25 117
 
0.7%
0.325 65
 
0.4%
Other values (15) 340
 
2.0%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 11
 
0.1%
0.125 49
0.3%
0.175 3
 
< 0.1%
0.2 9
 
0.1%
0.25 117
0.7%
ValueCountFrequency (%)
0.925 3
 
< 0.1%
0.85 2
 
< 0.1%
0.8 32
 
0.2%
0.775 36
 
0.2%
0.725 386
2.3%
Distinct16
Distinct (%)0.1%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.3521560284
Minimum0
Maximum1
Zeros113
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:27.708954image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.08333333333
Q10.2083333333
median0.3333333333
Q30.5
95-th percentile0.625
Maximum1
Range1
Interquartile range (IQR)0.2916666667

Descriptive statistics

Standard deviation0.1777794906
Coefficient of variation (CV)0.5048315982
Kurtosis-0.4086375891
Mean0.3521560284
Median Absolute Deviation (MAD)0.125
Skewness0.4111931956
Sum4137.833333
Variance0.03160554729
MonotonicityNot monotonic
2023-05-05T18:08:27.852910image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.2083333333 2803
16.6%
0.4166666667 2272
13.4%
0.2916666667 1400
 
8.3%
0.625 1056
 
6.2%
0.08333333333 1022
 
6.0%
0.5 893
 
5.3%
0.5416666667 566
 
3.3%
0.3333333333 424
 
2.5%
0.75 376
 
2.2%
0.375 343
 
2.0%
Other values (6) 595
 
3.5%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 113
 
0.7%
0.08333333333 1022
 
6.0%
0.1666666667 326
 
1.9%
0.2083333333 2803
16.6%
0.25 53
 
0.3%
ValueCountFrequency (%)
1 6
 
< 0.1%
0.875 50
 
0.3%
0.75 376
 
2.2%
0.6666666667 47
 
0.3%
0.625 1056
6.2%

defensive_work_rate_home_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.9790638298
Minimum0
Maximum1
Zeros246
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:27.994863image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1431767846
Coefficient of variation (CV)0.1462384578
Kurtosis42.80433454
Mean0.9790638298
Median Absolute Deviation (MAD)0
Skewness-6.693059743
Sum11504
Variance0.02049959164
MonotonicityNot monotonic
2023-05-05T18:08:28.120823image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 11504
68.1%
0 246
 
1.5%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 246
 
1.5%
1 11504
68.1%
ValueCountFrequency (%)
1 11504
68.1%
0 246
 
1.5%
Distinct35
Distinct (%)0.3%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5469
Minimum0
Maximum1
Zeros12
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:28.296767image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.375
Q10.45
median0.55
Q30.625
95-th percentile0.775
Maximum1
Range1
Interquartile range (IQR)0.175

Descriptive statistics

Standard deviation0.1303912963
Coefficient of variation (CV)0.2384188999
Kurtosis0.06824308847
Mean0.5469
Median Absolute Deviation (MAD)0.1
Skewness-0.06877154382
Sum6426.075
Variance0.01700189016
MonotonicityNot monotonic
2023-05-05T18:08:28.513698image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0.5 1597
 
9.5%
0.575 1359
 
8.0%
0.625 1274
 
7.5%
0.7 1234
 
7.3%
0.375 1196
 
7.1%
0.45 1024
 
6.1%
0.55 620
 
3.7%
0.65 604
 
3.6%
0.775 586
 
3.5%
0.425 556
 
3.3%
Other values (25) 1700
 
10.1%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 12
0.1%
0.05 3
 
< 0.1%
0.1 1
 
< 0.1%
0.125 25
0.1%
0.175 21
0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.975 1
 
< 0.1%
0.925 30
 
0.2%
0.9 1
 
< 0.1%
0.85 149
0.9%

crossing_away_defense
Real number (ℝ)

Distinct272
Distinct (%)2.3%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.6194319757
Minimum0
Maximum1
Zeros8
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:28.713683image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3857142857
Q10.56
median0.6371428571
Q30.7028571429
95-th percentile0.7857142857
Maximum1
Range1
Interquartile range (IQR)0.1428571429

Descriptive statistics

Standard deviation0.1219748175
Coefficient of variation (CV)0.1969139829
Kurtosis1.4135577
Mean0.6194319757
Median Absolute Deviation (MAD)0.07142857143
Skewness-0.9098616878
Sum7278.325714
Variance0.0148778561
MonotonicityNot monotonic
2023-05-05T18:08:28.935120image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6457142857 165
 
1.0%
0.6657142857 160
 
0.9%
0.6628571429 150
 
0.9%
0.64 147
 
0.9%
0.6342857143 146
 
0.9%
0.6685714286 144
 
0.9%
0.66 144
 
0.9%
0.6914285714 140
 
0.8%
0.6057142857 137
 
0.8%
0.6942857143 137
 
0.8%
Other values (262) 10280
60.8%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 8
< 0.1%
0.1028571429 4
< 0.1%
0.1085714286 4
< 0.1%
0.1114285714 1
 
< 0.1%
0.1142857143 5
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9657142857 1
 
< 0.1%
0.9542857143 1
 
< 0.1%
0.9485714286 1
 
< 0.1%
0.94 3
< 0.1%

crossing_away_forward
Real number (ℝ)

Distinct231
Distinct (%)2.0%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4225612814
Minimum0
Maximum1
Zeros108
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:29.140054image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1558935361
Q10.2357414449
median0.4106463878
Q30.5589353612
95-th percentile0.8098859316
Maximum1
Range1
Interquartile range (IQR)0.3231939163

Descriptive statistics

Standard deviation0.213146624
Coefficient of variation (CV)0.504415888
Kurtosis-0.7994986941
Mean0.4225612814
Median Absolute Deviation (MAD)0.1711026616
Skewness0.4448240188
Sum4965.095057
Variance0.04543148332
MonotonicityNot monotonic
2023-05-05T18:08:29.344990image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2585551331 216
 
1.3%
0.2395437262 192
 
1.1%
0.2281368821 190
 
1.1%
0.2243346008 174
 
1.0%
0.2357414449 173
 
1.0%
0.2319391635 161
 
1.0%
0.2205323194 158
 
0.9%
0.247148289 138
 
0.8%
0.2547528517 137
 
0.8%
0.2015209125 136
 
0.8%
Other values (221) 10075
59.6%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 108
0.6%
0.03422053232 4
 
< 0.1%
0.07604562738 1
 
< 0.1%
0.08365019011 2
 
< 0.1%
0.08745247148 1
 
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9619771863 1
 
< 0.1%
0.9467680608 4
< 0.1%
0.9429657795 4
< 0.1%
0.9391634981 1
 
< 0.1%

crossing_away_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct44
Distinct (%)0.4%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.2419496081
Minimum0
Maximum0.8552631579
Zeros261
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:29.524932image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1184210526
Q10.1578947368
median0.2631578947
Q30.3289473684
95-th percentile0.3289473684
Maximum0.8552631579
Range0.8552631579
Interquartile range (IQR)0.1710526316

Descriptive statistics

Standard deviation0.0921164261
Coefficient of variation (CV)0.3807256678
Kurtosis0.4925698842
Mean0.2419496081
Median Absolute Deviation (MAD)0.06578947368
Skewness-0.1068569127
Sum2842.907895
Variance0.008485435957
MonotonicityNot monotonic
2023-05-05T18:08:29.701877image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0.3289473684 3420
20.2%
0.1447368421 1020
 
6.0%
0.1578947368 749
 
4.4%
0.1710526316 724
 
4.3%
0.2763157895 671
 
4.0%
0.2894736842 632
 
3.7%
0.1842105263 579
 
3.4%
0.2631578947 552
 
3.3%
0.1315789474 475
 
2.8%
0.1973684211 349
 
2.1%
Other values (34) 2579
15.3%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 261
1.5%
0.01315789474 6
 
< 0.1%
0.06578947368 33
 
0.2%
0.07894736842 67
 
0.4%
0.09210526316 51
 
0.3%
ValueCountFrequency (%)
0.8552631579 1
 
< 0.1%
0.8289473684 2
 
< 0.1%
0.6842105263 11
0.1%
0.6710526316 1
 
< 0.1%
0.6447368421 1
 
< 0.1%

crossing_away_midfielder
Real number (ℝ)

Distinct354
Distinct (%)3.0%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5550214554
Minimum0
Maximum0.8991596639
Zeros6
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:29.945798image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3424369748
Q10.4459033613
median0.5609243697
Q30.6596638655
95-th percentile0.7731092437
Maximum0.8991596639
Range0.8991596639
Interquartile range (IQR)0.2137605042

Descriptive statistics

Standard deviation0.1383148655
Coefficient of variation (CV)0.24920634
Kurtosis-0.4646688439
Mean0.5550214554
Median Absolute Deviation (MAD)0.1071428571
Skewness-0.160392585
Sum6521.502101
Variance0.01913100203
MonotonicityNot monotonic
2023-05-05T18:08:30.123742image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5966386555 88
 
0.5%
0.5735294118 83
 
0.5%
0.6386554622 82
 
0.5%
0.5945378151 81
 
0.5%
0.5861344538 80
 
0.5%
0.6113445378 80
 
0.5%
0.5819327731 77
 
0.5%
0.5882352941 74
 
0.4%
0.6218487395 74
 
0.4%
0.5462184874 74
 
0.4%
Other values (344) 10957
64.8%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 6
< 0.1%
0.04621848739 1
 
< 0.1%
0.07352941176 1
 
< 0.1%
0.1029411765 2
 
< 0.1%
0.1050420168 2
 
< 0.1%
ValueCountFrequency (%)
0.8991596639 1
 
< 0.1%
0.8949579832 1
 
< 0.1%
0.8844537815 2
< 0.1%
0.8823529412 1
 
< 0.1%
0.8739495798 3
< 0.1%

crossing_home_defense
Real number (ℝ)

Distinct276
Distinct (%)2.3%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.6249140965
Minimum0
Maximum1
Zeros11
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:30.308705image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3961095101
Q10.5648414986
median0.6426512968
Q30.7060518732
95-th percentile0.7896253602
Maximum1
Range1
Interquartile range (IQR)0.1412103746

Descriptive statistics

Standard deviation0.1217602591
Coefficient of variation (CV)0.194843195
Kurtosis1.670389027
Mean0.6249140965
Median Absolute Deviation (MAD)0.06916426513
Skewness-0.9571895715
Sum7342.740634
Variance0.01482556071
MonotonicityNot monotonic
2023-05-05T18:08:30.529700image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6714697406 151
 
0.9%
0.674351585 150
 
0.9%
0.6685878963 150
 
0.9%
0.65129683 149
 
0.9%
0.7002881844 148
 
0.9%
0.6455331412 148
 
0.9%
0.6570605187 143
 
0.8%
0.6109510086 139
 
0.8%
0.6628242075 137
 
0.8%
0.6368876081 137
 
0.8%
Other values (266) 10298
60.9%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 11
0.1%
0.07492795389 1
 
< 0.1%
0.09798270893 1
 
< 0.1%
0.1037463977 2
 
< 0.1%
0.1066282421 1
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9884726225 1
< 0.1%
0.9711815562 1
< 0.1%
0.9654178674 1
< 0.1%
0.9625360231 2
< 0.1%

crossing_home_forward
Real number (ℝ)

Distinct232
Distinct (%)2.0%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4377822278
Minimum0
Maximum1
Zeros113
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:30.741176image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1568627451
Q10.2431372549
median0.431372549
Q30.5764705882
95-th percentile0.831372549
Maximum1
Range1
Interquartile range (IQR)0.3333333333

Descriptive statistics

Standard deviation0.2173716998
Coefficient of variation (CV)0.4965292925
Kurtosis-0.7805814101
Mean0.4377822278
Median Absolute Deviation (MAD)0.1764705882
Skewness0.4086291498
Sum5143.941176
Variance0.04725045588
MonotonicityNot monotonic
2023-05-05T18:08:31.009088image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.231372549 189
 
1.1%
0.2431372549 185
 
1.1%
0.2666666667 185
 
1.1%
0.2470588235 175
 
1.0%
0.2274509804 159
 
0.9%
0.2392156863 151
 
0.9%
0.2352941176 141
 
0.8%
0.262745098 138
 
0.8%
0.1882352941 137
 
0.8%
0.2549019608 125
 
0.7%
Other values (222) 10165
60.2%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 113
0.7%
0.03529411765 3
 
< 0.1%
0.07843137255 1
 
< 0.1%
0.08235294118 1
 
< 0.1%
0.0862745098 4
 
< 0.1%
ValueCountFrequency (%)
1 2
< 0.1%
0.9843137255 1
< 0.1%
0.9803921569 1
< 0.1%
0.9764705882 2
< 0.1%
0.9725490196 2
< 0.1%

crossing_home_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct42
Distinct (%)0.4%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.2492121909
Minimum0
Maximum0.9594594595
Zeros246
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:31.208025image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1216216216
Q10.1621621622
median0.2702702703
Q30.3378378378
95-th percentile0.3378378378
Maximum0.9594594595
Range0.9594594595
Interquartile range (IQR)0.1756756757

Descriptive statistics

Standard deviation0.09369336867
Coefficient of variation (CV)0.3759582078
Kurtosis0.5327958913
Mean0.2492121909
Median Absolute Deviation (MAD)0.06756756757
Skewness-0.1062361859
Sum2928.243243
Variance0.008778447333
MonotonicityNot monotonic
2023-05-05T18:08:31.397963image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0.3378378378 3415
20.2%
0.1486486486 1051
 
6.2%
0.1621621622 753
 
4.5%
0.1756756757 717
 
4.2%
0.2837837838 650
 
3.8%
0.2972972973 642
 
3.8%
0.1891891892 612
 
3.6%
0.2702702703 552
 
3.3%
0.1351351351 473
 
2.8%
0.3108108108 363
 
2.1%
Other values (32) 2522
14.9%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 246
1.5%
0.01351351351 5
 
< 0.1%
0.06756756757 23
 
0.1%
0.08108108108 56
 
0.3%
0.09459459459 46
 
0.3%
ValueCountFrequency (%)
0.9594594595 2
 
< 0.1%
0.7027027027 8
< 0.1%
0.6891891892 2
 
< 0.1%
0.5540540541 5
< 0.1%
0.5405405405 5
< 0.1%

crossing_home_midfielder
Real number (ℝ)

Distinct348
Distinct (%)3.0%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5771818055
Minimum0
Maximum1
Zeros12
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:31.604897image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3566739606
Q10.466083151
median0.5864332604
Q30.6849015317
95-th percentile0.8008752735
Maximum1
Range1
Interquartile range (IQR)0.2188183807

Descriptive statistics

Standard deviation0.1430729223
Coefficient of variation (CV)0.2478818995
Kurtosis-0.4017160775
Mean0.5771818055
Median Absolute Deviation (MAD)0.1094091904
Skewness-0.1734589783
Sum6781.886214
Variance0.0204698611
MonotonicityNot monotonic
2023-05-05T18:08:31.782840image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6301969365 89
 
0.5%
0.6214442013 85
 
0.5%
0.6148796499 82
 
0.5%
0.6236323851 79
 
0.5%
0.6280087527 79
 
0.5%
0.6126914661 78
 
0.5%
0.398249453 78
 
0.5%
0.6652078775 75
 
0.4%
0.6433260394 73
 
0.4%
0.5973741794 73
 
0.4%
Other values (338) 10959
64.9%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 12
0.1%
0.1050328228 1
 
< 0.1%
0.1072210066 2
 
< 0.1%
0.1094091904 1
 
< 0.1%
0.113785558 1
 
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9824945295 1
 
< 0.1%
0.9365426696 1
 
< 0.1%
0.932166302 4
< 0.1%
0.9212253829 1
 
< 0.1%

finishing_away_defense
Real number (ℝ)

Distinct232
Distinct (%)2.0%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5376060297
Minimum0
Maximum0.9704797048
Zeros8
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:31.979778image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3136531365
Q10.4575645756
median0.5424354244
Q30.6236162362
95-th percentile0.7453874539
Maximum0.9704797048
Range0.9704797048
Interquartile range (IQR)0.1660516605

Descriptive statistics

Standard deviation0.131657355
Coefficient of variation (CV)0.244895607
Kurtosis0.4113773516
Mean0.5376060297
Median Absolute Deviation (MAD)0.08487084871
Skewness-0.2718859489
Sum6316.870849
Variance0.01733365912
MonotonicityNot monotonic
2023-05-05T18:08:32.149723image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5608856089 168
 
1.0%
0.5387453875 160
 
0.9%
0.5498154982 157
 
0.9%
0.5350553506 154
 
0.9%
0.5276752768 150
 
0.9%
0.5645756458 146
 
0.9%
0.5018450185 146
 
0.9%
0.5313653137 145
 
0.9%
0.5793357934 142
 
0.8%
0.5830258303 142
 
0.8%
Other values (222) 10240
60.6%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 8
< 0.1%
0.06642066421 5
< 0.1%
0.07380073801 1
 
< 0.1%
0.07749077491 4
< 0.1%
0.08118081181 2
 
< 0.1%
ValueCountFrequency (%)
0.9704797048 1
 
< 0.1%
0.9557195572 1
 
< 0.1%
0.9483394834 3
< 0.1%
0.9446494465 2
< 0.1%
0.9409594096 2
< 0.1%

finishing_away_forward
Real number (ℝ)

Distinct245
Distinct (%)2.1%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4793822824
Minimum0
Maximum1
Zeros108
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:32.325750image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2290909091
Q10.28
median0.4945454545
Q30.6218181818
95-th percentile0.8290909091
Maximum1
Range1
Interquartile range (IQR)0.3418181818

Descriptive statistics

Standard deviation0.2060947028
Coefficient of variation (CV)0.4299172297
Kurtosis-0.8958914575
Mean0.4793822824
Median Absolute Deviation (MAD)0.2
Skewness0.253731239
Sum5632.741818
Variance0.04247502653
MonotonicityNot monotonic
2023-05-05T18:08:32.578204image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2690909091 252
 
1.5%
0.2654545455 240
 
1.4%
0.2763636364 223
 
1.3%
0.2727272727 212
 
1.3%
0.2618181818 206
 
1.2%
0.28 202
 
1.2%
0.2509090909 180
 
1.1%
0.2836363636 177
 
1.0%
0.2872727273 169
 
1.0%
0.2945454545 169
 
1.0%
Other values (235) 9720
57.5%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 108
0.6%
0.02909090909 4
 
< 0.1%
0.04 1
 
< 0.1%
0.07272727273 1
 
< 0.1%
0.07636363636 1
 
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9890909091 7
< 0.1%
0.9854545455 10
0.1%
0.9818181818 5
< 0.1%
0.9745454545 9
0.1%

finishing_away_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct47
Distinct (%)0.4%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.24040023
Minimum0
Maximum0.7567567568
Zeros261
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:32.807132image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1081081081
Q10.1621621622
median0.2702702703
Q30.3378378378
95-th percentile0.3378378378
Maximum0.7567567568
Range0.7567567568
Interquartile range (IQR)0.1756756757

Descriptive statistics

Standard deviation0.09645608501
Coefficient of variation (CV)0.4012312509
Kurtosis0.09099691959
Mean0.24040023
Median Absolute Deviation (MAD)0.06756756757
Skewness-0.07252449892
Sum2824.702703
Variance0.009303776336
MonotonicityNot monotonic
2023-05-05T18:08:32.993073image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0.3378378378 3405
20.2%
0.1486486486 984
 
5.8%
0.1756756757 899
 
5.3%
0.1621621622 781
 
4.6%
0.2837837838 629
 
3.7%
0.2972972973 608
 
3.6%
0.2702702703 586
 
3.5%
0.1351351351 535
 
3.2%
0.1081081081 455
 
2.7%
0.1891891892 394
 
2.3%
Other values (37) 2474
14.6%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 261
1.5%
0.01351351351 6
 
< 0.1%
0.02702702703 3
 
< 0.1%
0.04054054054 8
 
< 0.1%
0.05405405405 3
 
< 0.1%
ValueCountFrequency (%)
0.7567567568 1
 
< 0.1%
0.7432432432 1
 
< 0.1%
0.6891891892 9
0.1%
0.6351351351 2
 
< 0.1%
0.6216216216 13
0.1%

finishing_away_midfielder
Real number (ℝ)

Distinct346
Distinct (%)2.9%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5853954913
Minimum0
Maximum1
Zeros6
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:35.876756image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3449131514
Q10.4615384615
median0.5856079404
Q30.7071960298
95-th percentile0.8362282878
Maximum1
Range1
Interquartile range (IQR)0.2456575682

Descriptive statistics

Standard deviation0.1574708742
Coefficient of variation (CV)0.2689991238
Kurtosis-0.5387802835
Mean0.5853954913
Median Absolute Deviation (MAD)0.1240694789
Skewness-0.05157936753
Sum6878.397022
Variance0.02479707622
MonotonicityNot monotonic
2023-05-05T18:08:36.067740image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6079404467 86
 
0.5%
0.5781637717 80
 
0.5%
0.6277915633 78
 
0.5%
0.4267990074 77
 
0.5%
0.6004962779 76
 
0.4%
0.4317617866 76
 
0.4%
0.6104218362 75
 
0.4%
0.617866005 74
 
0.4%
0.4640198511 74
 
0.4%
0.6650124069 73
 
0.4%
Other values (336) 10981
65.0%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 6
< 0.1%
0.05210918114 1
 
< 0.1%
0.06947890819 2
 
< 0.1%
0.08188585608 1
 
< 0.1%
0.111662531 1
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9950372208 1
< 0.1%
0.9875930521 1
< 0.1%
0.9851116625 1
< 0.1%
0.9801488834 1
< 0.1%

finishing_home_defense
Real number (ℝ)

Distinct237
Distinct (%)2.0%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5268555189
Minimum0
Maximum1
Zeros11
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:36.282179image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3068592058
Q10.4476534296
median0.5306859206
Q30.6137184116
95-th percentile0.7328519856
Maximum1
Range1
Interquartile range (IQR)0.1660649819

Descriptive statistics

Standard deviation0.1287559454
Coefficient of variation (CV)0.2443856821
Kurtosis0.4174647032
Mean0.5268555189
Median Absolute Deviation (MAD)0.08303249097
Skewness-0.2759925017
Sum6190.552347
Variance0.01657809346
MonotonicityNot monotonic
2023-05-05T18:08:36.463121image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5270758123 173
 
1.0%
0.476534296 171
 
1.0%
0.5162454874 159
 
0.9%
0.5342960289 155
 
0.9%
0.5559566787 148
 
0.9%
0.5487364621 147
 
0.9%
0.4729241877 144
 
0.9%
0.4981949458 144
 
0.9%
0.5198555957 144
 
0.9%
0.5812274368 143
 
0.8%
Other values (227) 10222
60.5%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 11
0.1%
0.03971119134 1
 
< 0.1%
0.06498194946 1
 
< 0.1%
0.07220216606 1
 
< 0.1%
0.07581227437 6
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9602888087 1
< 0.1%
0.9530685921 1
< 0.1%
0.9386281588 1
< 0.1%
0.9277978339 1
< 0.1%

finishing_home_forward
Real number (ℝ)

Distinct242
Distinct (%)2.1%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4877863022
Minimum0
Maximum1
Zeros113
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:36.659059image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2335766423
Q10.2846715328
median0.503649635
Q30.6277372263
95-th percentile0.8321167883
Maximum1
Range1
Interquartile range (IQR)0.3430656934

Descriptive statistics

Standard deviation0.2054482071
Coefficient of variation (CV)0.4211848634
Kurtosis-0.8842788882
Mean0.4877863022
Median Absolute Deviation (MAD)0.200729927
Skewness0.1902968938
Sum5731.489051
Variance0.0422089658
MonotonicityNot monotonic
2023-05-05T18:08:36.830004image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2700729927 229
 
1.4%
0.2737226277 224
 
1.3%
0.2773722628 222
 
1.3%
0.2664233577 217
 
1.3%
0.2518248175 186
 
1.1%
0.2846715328 182
 
1.1%
0.2810218978 179
 
1.1%
0.2627737226 169
 
1.0%
0.2883211679 162
 
1.0%
0.2919708029 157
 
0.9%
Other values (232) 9823
58.1%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 113
0.7%
0.02919708029 3
 
< 0.1%
0.07299270073 1
 
< 0.1%
0.0802919708 1
 
< 0.1%
0.09124087591 3
 
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9927007299 6
< 0.1%
0.9890510949 4
< 0.1%
0.9854014599 7
< 0.1%
0.9817518248 1
 
< 0.1%

finishing_home_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct46
Distinct (%)0.4%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.3496854401
Minimum0
Maximum1
Zeros246
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:37.001950image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1568627451
Q10.2352941176
median0.3921568627
Q30.4901960784
95-th percentile0.4901960784
Maximum1
Range1
Interquartile range (IQR)0.2549019608

Descriptive statistics

Standard deviation0.1380105064
Coefficient of variation (CV)0.3946704395
Kurtosis-0.2596059552
Mean0.3496854401
Median Absolute Deviation (MAD)0.09803921569
Skewness-0.1546430835
Sum4108.803922
Variance0.01904689987
MonotonicityNot monotonic
2023-05-05T18:08:37.169896image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0.4901960784 3409
20.2%
0.2156862745 1017
 
6.0%
0.2549019608 902
 
5.3%
0.2352941176 784
 
4.6%
0.431372549 636
 
3.8%
0.3921568627 616
 
3.6%
0.4117647059 605
 
3.6%
0.1960784314 540
 
3.2%
0.1568627451 417
 
2.5%
0.2745098039 370
 
2.2%
Other values (36) 2454
14.5%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 246
1.5%
0.01960784314 5
 
< 0.1%
0.03921568627 4
 
< 0.1%
0.05882352941 7
 
< 0.1%
0.07843137255 2
 
< 0.1%
ValueCountFrequency (%)
1 3
 
< 0.1%
0.9019607843 5
 
< 0.1%
0.8823529412 2
 
< 0.1%
0.8431372549 5
 
< 0.1%
0.8235294118 14
0.1%

finishing_home_midfielder
Real number (ℝ)

Distinct350
Distinct (%)3.0%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5733753357
Minimum0
Maximum1
Zeros12
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:37.346869image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3360436893
Q10.4514563107
median0.5752427184
Q30.6868932039
95-th percentile0.822815534
Maximum1
Range1
Interquartile range (IQR)0.2354368932

Descriptive statistics

Standard deviation0.1545597246
Coefficient of variation (CV)0.269561167
Kurtosis-0.4856164328
Mean0.5733753357
Median Absolute Deviation (MAD)0.1189320388
Skewness-0.04541580895
Sum6737.160194
Variance0.02388870847
MonotonicityNot monotonic
2023-05-05T18:08:37.539807image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5946601942 96
 
0.6%
0.640776699 92
 
0.5%
0.4174757282 88
 
0.5%
0.5776699029 79
 
0.5%
0.427184466 77
 
0.5%
0.4126213592 76
 
0.4%
0.6359223301 75
 
0.4%
0.572815534 74
 
0.4%
0.645631068 73
 
0.4%
0.6334951456 73
 
0.4%
Other values (340) 10947
64.8%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 12
0.1%
0.05825242718 1
 
< 0.1%
0.06310679612 2
 
< 0.1%
0.06553398058 2
 
< 0.1%
0.08009708738 1
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9830097087 1
< 0.1%
0.9805825243 1
< 0.1%
0.9781553398 2
< 0.1%
0.9757281553 1
< 0.1%
Distinct297
Distinct (%)2.5%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.6558833567
Minimum0
Maximum1
Zeros8
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:37.739253image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4746192893
Q10.6091370558
median0.6700507614
Q30.7233502538
95-th percentile0.7893401015
Maximum1
Range1
Interquartile range (IQR)0.114213198

Descriptive statistics

Standard deviation0.1045401053
Coefficient of variation (CV)0.1593882575
Kurtosis4.174912576
Mean0.6558833567
Median Absolute Deviation (MAD)0.05837563452
Skewness-1.404018706
Sum7706.629442
Variance0.01092863363
MonotonicityNot monotonic
2023-05-05T18:08:37.911706image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7055837563 179
 
1.1%
0.7131979695 162
 
1.0%
0.6472081218 156
 
0.9%
0.730964467 154
 
0.9%
0.7005076142 153
 
0.9%
0.6979695431 153
 
0.9%
0.6624365482 151
 
0.9%
0.6700507614 150
 
0.9%
0.6725888325 147
 
0.9%
0.6954314721 146
 
0.9%
Other values (287) 10199
60.4%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 8
< 0.1%
0.1065989848 1
 
< 0.1%
0.1091370558 1
 
< 0.1%
0.114213198 1
 
< 0.1%
0.1218274112 5
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9746192893 1
< 0.1%
0.9543147208 2
< 0.1%
0.9492385787 1
< 0.1%
0.9467005076 1
< 0.1%
Distinct223
Distinct (%)1.9%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.459435968
Minimum0
Maximum1
Zeros108
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:38.086650image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.216730038
Q10.2851711027
median0.4714828897
Q30.6007604563
95-th percentile0.7756653992
Maximum1
Range1
Interquartile range (IQR)0.3155893536

Descriptive statistics

Standard deviation0.1889152905
Coefficient of variation (CV)0.4111895969
Kurtosis-0.8744731954
Mean0.459435968
Median Absolute Deviation (MAD)0.1711026616
Skewness0.1847230485
Sum5398.372624
Variance0.03568898697
MonotonicityNot monotonic
2023-05-05T18:08:38.257596image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2851711027 206
 
1.2%
0.2585551331 205
 
1.2%
0.2775665399 197
 
1.2%
0.2547528517 196
 
1.2%
0.2965779468 193
 
1.1%
0.2813688213 189
 
1.1%
0.2927756654 186
 
1.1%
0.288973384 177
 
1.0%
0.3079847909 147
 
0.9%
0.2661596958 145
 
0.9%
Other values (213) 9909
58.6%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 108
0.6%
0.04562737643 4
 
< 0.1%
0.07604562738 1
 
< 0.1%
0.09505703422 1
 
< 0.1%
0.1064638783 2
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9505703422 1
< 0.1%
0.9429657795 2
< 0.1%
0.9391634981 1
< 0.1%
0.9353612167 1
< 0.1%

heading_accuracy_away_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct52
Distinct (%)0.4%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.290909329
Minimum0
Maximum1
Zeros261
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:38.472526image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1230769231
Q10.1846153846
median0.3076923077
Q30.3846153846
95-th percentile0.4615384615
Maximum1
Range1
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation0.1194411596
Coefficient of variation (CV)0.4105786502
Kurtosis1.837240736
Mean0.290909329
Median Absolute Deviation (MAD)0.07692307692
Skewness0.3964634554
Sum3418.184615
Variance0.01426619061
MonotonicityNot monotonic
2023-05-05T18:08:38.659467image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3846153846 3330
19.7%
0.1846153846 855
 
5.1%
0.2 793
 
4.7%
0.1692307692 715
 
4.2%
0.3230769231 711
 
4.2%
0.1538461538 565
 
3.3%
0.3384615385 534
 
3.2%
0.3076923077 487
 
2.9%
0.2307692308 432
 
2.6%
0.2153846154 422
 
2.5%
Other values (42) 2906
17.2%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 261
1.5%
0.01538461538 10
 
0.1%
0.03076923077 3
 
< 0.1%
0.07692307692 1
 
< 0.1%
0.09230769231 29
 
0.2%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9846153846 1
 
< 0.1%
0.9692307692 1
 
< 0.1%
0.9538461538 9
0.1%
0.8923076923 9
0.1%
Distinct324
Distinct (%)2.8%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.602909227
Minimum0
Maximum1
Zeros6
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:38.843408image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3894472362
Q10.4949748744
median0.6055276382
Q30.7085427136
95-th percentile0.8266331658
Maximum1
Range1
Interquartile range (IQR)0.2135678392

Descriptive statistics

Standard deviation0.1403242381
Coefficient of variation (CV)0.2327452157
Kurtosis-0.2330542713
Mean0.602909227
Median Absolute Deviation (MAD)0.1055276382
Skewness-0.1297144467
Sum7084.183417
Variance0.01969089179
MonotonicityNot monotonic
2023-05-05T18:08:39.020351image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6281407035 103
 
0.6%
0.6834170854 94
 
0.6%
0.6155778894 88
 
0.5%
0.6030150754 88
 
0.5%
0.6432160804 88
 
0.5%
0.6005025126 86
 
0.5%
0.6683417085 86
 
0.5%
0.4623115578 85
 
0.5%
0.6105527638 85
 
0.5%
0.5979899497 85
 
0.5%
Other values (314) 10862
64.3%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 6
< 0.1%
0.07788944724 1
 
< 0.1%
0.08040201005 1
 
< 0.1%
0.08793969849 1
 
< 0.1%
0.09045226131 2
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9798994975 1
< 0.1%
0.9748743719 1
< 0.1%
0.9648241206 1
< 0.1%
0.9623115578 1
< 0.1%
Distinct303
Distinct (%)2.6%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.6390800506
Minimum0
Maximum1
Zeros11
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:39.230284image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4603960396
Q10.5940594059
median0.6534653465
Q30.7054455446
95-th percentile0.7698019802
Maximum1
Range1
Interquartile range (IQR)0.1113861386

Descriptive statistics

Standard deviation0.1024436466
Coefficient of variation (CV)0.1602986143
Kurtosis4.588866221
Mean0.6390800506
Median Absolute Deviation (MAD)0.05693069307
Skewness-1.493682616
Sum7509.190594
Variance0.01049470072
MonotonicityNot monotonic
2023-05-05T18:08:39.422223image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6881188119 200
 
1.2%
0.6534653465 167
 
1.0%
0.7128712871 166
 
1.0%
0.6732673267 154
 
0.9%
0.6410891089 152
 
0.9%
0.6608910891 152
 
0.9%
0.6386138614 150
 
0.9%
0.6757425743 148
 
0.9%
0.7178217822 148
 
0.9%
0.6782178218 147
 
0.9%
Other values (293) 10166
60.2%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 11
0.1%
0.103960396 3
 
< 0.1%
0.1064356436 2
 
< 0.1%
0.1089108911 1
 
< 0.1%
0.1113861386 1
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9876237624 1
< 0.1%
0.9603960396 1
< 0.1%
0.9455445545 1
< 0.1%
0.9306930693 1
< 0.1%
Distinct222
Distinct (%)1.9%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4685596882
Minimum0
Maximum1
Zeros113
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:39.619161image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2213740458
Q10.2900763359
median0.4809160305
Q30.606870229
95-th percentile0.7824427481
Maximum1
Range1
Interquartile range (IQR)0.3167938931

Descriptive statistics

Standard deviation0.1883282979
Coefficient of variation (CV)0.4019302187
Kurtosis-0.8599813144
Mean0.4685596882
Median Absolute Deviation (MAD)0.1717557252
Skewness0.1176189416
Sum5505.576336
Variance0.03546754781
MonotonicityNot monotonic
2023-05-05T18:08:39.817097image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2595419847 215
 
1.3%
0.286259542 196
 
1.2%
0.2824427481 191
 
1.1%
0.2977099237 177
 
1.0%
0.2786259542 176
 
1.0%
0.2900763359 173
 
1.0%
0.2938931298 166
 
1.0%
0.3091603053 150
 
0.9%
0.2442748092 145
 
0.9%
0.2748091603 144
 
0.9%
Other values (212) 10017
59.3%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 113
0.7%
0.04580152672 3
 
< 0.1%
0.07633587786 1
 
< 0.1%
0.1030534351 1
 
< 0.1%
0.1106870229 5
 
< 0.1%
ValueCountFrequency (%)
1 2
< 0.1%
0.9541984733 1
 
< 0.1%
0.9465648855 1
 
< 0.1%
0.9389312977 2
< 0.1%
0.9312977099 3
< 0.1%

heading_accuracy_home_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct48
Distinct (%)0.4%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.3056362388
Minimum0
Maximum1
Zeros246
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:40.009036image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1290322581
Q10.1935483871
median0.3225806452
Q30.4032258065
95-th percentile0.4677419355
Maximum1
Range1
Interquartile range (IQR)0.2096774194

Descriptive statistics

Standard deviation0.1245787402
Coefficient of variation (CV)0.4076046108
Kurtosis1.775728522
Mean0.3056362388
Median Absolute Deviation (MAD)0.08064516129
Skewness0.3942450009
Sum3591.225806
Variance0.0155198625
MonotonicityNot monotonic
2023-05-05T18:08:40.183981image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0.4032258065 3326
19.7%
0.1935483871 871
 
5.2%
0.2096774194 821
 
4.9%
0.1774193548 729
 
4.3%
0.3387096774 698
 
4.1%
0.3548387097 552
 
3.3%
0.1612903226 550
 
3.3%
0.3225806452 482
 
2.9%
0.2419354839 440
 
2.6%
0.2258064516 433
 
2.6%
Other values (38) 2848
16.9%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 246
1.5%
0.01612903226 10
 
0.1%
0.03225806452 4
 
< 0.1%
0.08064516129 5
 
< 0.1%
0.09677419355 21
 
0.1%
ValueCountFrequency (%)
1 8
< 0.1%
0.935483871 15
0.1%
0.8709677419 7
< 0.1%
0.8387096774 17
0.1%
0.7741935484 13
0.1%
Distinct317
Distinct (%)2.7%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5669985816
Minimum0
Maximum1
Zeros12
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:40.379919image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.369047619
Q10.4666666667
median0.569047619
Q30.6642857143
95-th percentile0.780952381
Maximum1
Range1
Interquartile range (IQR)0.1976190476

Descriptive statistics

Standard deviation0.1315845328
Coefficient of variation (CV)0.232072067
Kurtosis-0.1300034835
Mean0.5669985816
Median Absolute Deviation (MAD)0.09761904762
Skewness-0.1276445288
Sum6662.233333
Variance0.01731448928
MonotonicityNot monotonic
2023-05-05T18:08:40.564859image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5666666667 99
 
0.6%
0.4380952381 94
 
0.6%
0.5714285714 90
 
0.5%
0.580952381 90
 
0.5%
0.4595238095 89
 
0.5%
0.4833333333 86
 
0.5%
0.5833333333 85
 
0.5%
0.6047619048 85
 
0.5%
0.6071428571 84
 
0.5%
0.5619047619 83
 
0.5%
Other values (307) 10865
64.3%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 12
0.1%
0.08333333333 1
 
< 0.1%
0.1095238095 7
< 0.1%
0.1142857143 2
 
< 0.1%
0.1166666667 1
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9476190476 1
< 0.1%
0.930952381 1
< 0.1%
0.9285714286 1
< 0.1%
0.9142857143 1
< 0.1%
Distinct279
Distinct (%)2.4%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.6650786259
Minimum0
Maximum1
Zeros8
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:40.780790image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4648247978
Q10.6199460916
median0.6846361186
Q30.7358490566
95-th percentile0.8032345013
Maximum1
Range1
Interquartile range (IQR)0.115902965

Descriptive statistics

Standard deviation0.1109966752
Coefficient of variation (CV)0.1668925611
Kurtosis3.189839292
Mean0.6650786259
Median Absolute Deviation (MAD)0.05660377358
Skewness-1.308946634
Sum7814.673854
Variance0.01232026191
MonotonicityNot monotonic
2023-05-05T18:08:40.954818image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7196765499 170
 
1.0%
0.7061994609 167
 
1.0%
0.7008086253 167
 
1.0%
0.6873315364 165
 
1.0%
0.7358490566 164
 
1.0%
0.7223719677 162
 
1.0%
0.6954177898 161
 
1.0%
0.730458221 159
 
0.9%
0.7035040431 158
 
0.9%
0.7277628032 158
 
0.9%
Other values (269) 10119
59.9%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 8
< 0.1%
0.07277628032 2
 
< 0.1%
0.1239892183 1
 
< 0.1%
0.1293800539 2
 
< 0.1%
0.1347708895 6
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9919137466 1
 
< 0.1%
0.9676549865 1
 
< 0.1%
0.9622641509 2
< 0.1%
0.9595687332 3
< 0.1%
Distinct238
Distinct (%)2.0%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4537346683
Minimum0
Maximum1
Zeros108
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:41.141805image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1985294118
Q10.2536764706
median0.4558823529
Q30.5919117647
95-th percentile0.8308823529
Maximum1
Range1
Interquartile range (IQR)0.3382352941

Descriptive statistics

Standard deviation0.2130598322
Coefficient of variation (CV)0.4695692154
Kurtosis-0.8964079924
Mean0.4537346683
Median Absolute Deviation (MAD)0.1948529412
Skewness0.3683750013
Sum5331.382353
Variance0.04539449211
MonotonicityNot monotonic
2023-05-05T18:08:41.325834image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2463235294 263
 
1.6%
0.2352941176 223
 
1.3%
0.2389705882 222
 
1.3%
0.25 209
 
1.2%
0.2536764706 206
 
1.2%
0.2720588235 201
 
1.2%
0.2573529412 198
 
1.2%
0.2426470588 186
 
1.1%
0.2279411765 184
 
1.1%
0.2683823529 181
 
1.1%
Other values (228) 9677
57.3%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 108
0.6%
0.09558823529 4
 
< 0.1%
0.09926470588 1
 
< 0.1%
0.1066176471 2
 
< 0.1%
0.1139705882 1
 
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9816176471 2
< 0.1%
0.9742647059 1
 
< 0.1%
0.9705882353 2
< 0.1%
0.9669117647 4
< 0.1%

short_passing_away_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct62
Distinct (%)0.5%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.3574317264
Minimum0
Maximum1
Zeros261
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:41.500803image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.164556962
Q10.2911392405
median0.3544303797
Q30.4303797468
95-th percentile0.5063291139
Maximum1
Range1
Interquartile range (IQR)0.1392405063

Descriptive statistics

Standard deviation0.1119502009
Coefficient of variation (CV)0.3132072301
Kurtosis2.799536891
Mean0.3574317264
Median Absolute Deviation (MAD)0.06329113924
Skewness-0.1190631746
Sum4199.822785
Variance0.01253284749
MonotonicityNot monotonic
2023-05-05T18:08:41.683811image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3164556962 893
 
5.3%
0.4430379747 803
 
4.8%
0.3924050633 779
 
4.6%
0.4050632911 757
 
4.5%
0.2911392405 709
 
4.2%
0.2784810127 659
 
3.9%
0.3037974684 632
 
3.7%
0.2658227848 548
 
3.2%
0.417721519 501
 
3.0%
0.3544303797 472
 
2.8%
Other values (52) 4997
29.6%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 261
1.5%
0.1012658228 2
 
< 0.1%
0.1139240506 10
 
0.1%
0.1265822785 37
 
0.2%
0.1392405063 124
0.7%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9620253165 1
 
< 0.1%
0.9493670886 10
0.1%
0.8860759494 5
< 0.1%
0.835443038 1
 
< 0.1%
Distinct351
Distinct (%)3.0%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5822152889
Minimum0
Maximum0.8913043478
Zeros6
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:41.884349image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3913043478
Q10.476284585
median0.5869565217
Q30.6916996047
95-th percentile0.7845849802
Maximum0.8913043478
Range0.8913043478
Interquartile range (IQR)0.2154150198

Descriptive statistics

Standard deviation0.1324117661
Coefficient of variation (CV)0.2274274974
Kurtosis-0.3073184816
Mean0.5822152889
Median Absolute Deviation (MAD)0.1086956522
Skewness-0.2095206284
Sum6841.029644
Variance0.01753287581
MonotonicityNot monotonic
2023-05-05T18:08:42.047864image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.604743083 86
 
0.5%
0.6126482213 85
 
0.5%
0.5968379447 84
 
0.5%
0.5948616601 83
 
0.5%
0.5988142292 82
 
0.5%
0.6245059289 81
 
0.5%
0.4130434783 81
 
0.5%
0.4407114625 74
 
0.4%
0.6383399209 74
 
0.4%
0.4466403162 74
 
0.4%
Other values (341) 10946
64.8%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 6
< 0.1%
0.08498023715 1
 
< 0.1%
0.08893280632 3
< 0.1%
0.1007905138 1
 
< 0.1%
0.1146245059 3
< 0.1%
ValueCountFrequency (%)
0.8913043478 1
 
< 0.1%
0.8794466403 2
< 0.1%
0.8735177866 2
< 0.1%
0.871541502 3
< 0.1%
0.8695652174 1
 
< 0.1%
Distinct277
Distinct (%)2.4%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.6525761567
Minimum0
Maximum1
Zeros11
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:42.219872image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.455026455
Q10.6111111111
median0.671957672
Q30.7248677249
95-th percentile0.7857142857
Maximum1
Range1
Interquartile range (IQR)0.1137566138

Descriptive statistics

Standard deviation0.1089354771
Coefficient of variation (CV)0.1669314393
Kurtosis3.562828876
Mean0.6525761567
Median Absolute Deviation (MAD)0.05687830688
Skewness-1.398344616
Sum7667.769841
Variance0.01186693817
MonotonicityNot monotonic
2023-05-05T18:08:42.392817image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6931216931 180
 
1.1%
0.6534391534 172
 
1.0%
0.6560846561 164
 
1.0%
0.6772486772 164
 
1.0%
0.6984126984 163
 
1.0%
0.7010582011 162
 
1.0%
0.7169312169 159
 
0.9%
0.7301587302 159
 
0.9%
0.7142857143 157
 
0.9%
0.6746031746 155
 
0.9%
Other values (267) 10115
59.9%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 11
0.1%
0.07142857143 3
 
< 0.1%
0.1111111111 1
 
< 0.1%
0.1216931217 1
 
< 0.1%
0.126984127 1
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9576719577 1
< 0.1%
0.9497354497 1
< 0.1%
0.9444444444 1
< 0.1%
0.9391534392 1
< 0.1%
Distinct242
Distinct (%)2.1%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4575969962
Minimum0
Maximum1
Zeros113
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:42.574808image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1985294118
Q10.2573529412
median0.4632352941
Q30.5882352941
95-th percentile0.8272058824
Maximum1
Range1
Interquartile range (IQR)0.3308823529

Descriptive statistics

Standard deviation0.2101389201
Coefficient of variation (CV)0.4592226824
Kurtosis-0.87443085
Mean0.4575969962
Median Absolute Deviation (MAD)0.1985294118
Skewness0.3213074863
Sum5376.764706
Variance0.04415836573
MonotonicityNot monotonic
2023-05-05T18:08:42.752818image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2463235294 236
 
1.4%
0.2352941176 210
 
1.2%
0.2720588235 208
 
1.2%
0.2573529412 196
 
1.2%
0.2426470588 194
 
1.1%
0.2389705882 186
 
1.1%
0.25 184
 
1.1%
0.2536764706 176
 
1.0%
0.2647058824 170
 
1.0%
0.2683823529 165
 
1.0%
Other values (232) 9825
58.1%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 113
0.7%
0.09558823529 3
 
< 0.1%
0.1029411765 2
 
< 0.1%
0.1139705882 1
 
< 0.1%
0.1176470588 1
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9852941176 1
< 0.1%
0.9816176471 2
< 0.1%
0.9779411765 1
< 0.1%
0.9742647059 2
< 0.1%

short_passing_home_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct59
Distinct (%)0.5%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.3769078014
Minimum0
Maximum1
Zeros246
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:42.935835image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1733333333
Q10.3066666667
median0.3733333333
Q30.4533333333
95-th percentile0.5333333333
Maximum1
Range1
Interquartile range (IQR)0.1466666667

Descriptive statistics

Standard deviation0.1173799413
Coefficient of variation (CV)0.3114287921
Kurtosis2.6104994
Mean0.3769078014
Median Absolute Deviation (MAD)0.06666666667
Skewness-0.1194904596
Sum4428.666667
Variance0.01377805062
MonotonicityNot monotonic
2023-05-05T18:08:43.137294image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3333333333 824
 
4.9%
0.4666666667 820
 
4.9%
0.4133333333 811
 
4.8%
0.4266666667 751
 
4.4%
0.3066666667 685
 
4.1%
0.2933333333 637
 
3.8%
0.28 602
 
3.6%
0.32 590
 
3.5%
0.3466666667 485
 
2.9%
0.3733333333 479
 
2.8%
Other values (49) 5066
30.0%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 246
1.5%
0.1066666667 4
 
< 0.1%
0.12 11
 
0.1%
0.1333333333 42
 
0.2%
0.1466666667 125
0.7%
ValueCountFrequency (%)
1 8
< 0.1%
0.9333333333 5
 
< 0.1%
0.8666666667 16
0.1%
0.8266666667 4
 
< 0.1%
0.8133333333 5
 
< 0.1%
Distinct354
Distinct (%)3.0%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5696641926
Minimum0
Maximum1
Zeros12
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:43.317238image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3817829457
Q10.4670542636
median0.5736434109
Q30.6724806202
95-th percentile0.769379845
Maximum1
Range1
Interquartile range (IQR)0.2054263566

Descriptive statistics

Standard deviation0.1294372292
Coefficient of variation (CV)0.2272167198
Kurtosis-0.2080149382
Mean0.5696641926
Median Absolute Deviation (MAD)0.1046511628
Skewness-0.1998962085
Sum6693.554264
Variance0.01675399631
MonotonicityNot monotonic
2023-05-05T18:08:43.487183image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5833333333 88
 
0.5%
0.5891472868 87
 
0.5%
0.5852713178 85
 
0.5%
0.5949612403 81
 
0.5%
0.6007751938 81
 
0.5%
0.5813953488 81
 
0.5%
0.5872093023 80
 
0.5%
0.5910852713 79
 
0.5%
0.4341085271 78
 
0.5%
0.7228682171 75
 
0.4%
Other values (344) 10935
64.7%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 12
0.1%
0.08333333333 1
 
< 0.1%
0.08720930233 1
 
< 0.1%
0.09302325581 1
 
< 0.1%
0.09689922481 1
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.976744186 1
< 0.1%
0.8740310078 2
< 0.1%
0.8720930233 1
< 0.1%
0.8662790698 1
< 0.1%

volleys_away_defense
Real number (ℝ)

Distinct246
Distinct (%)2.1%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5387681815
Minimum0
Maximum1
Zeros8
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:43.660128image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3031358885
Q10.456445993
median0.5400696864
Q30.6306620209
95-th percentile0.7595818815
Maximum1
Range1
Interquartile range (IQR)0.1742160279

Descriptive statistics

Standard deviation0.1368989928
Coefficient of variation (CV)0.2540962839
Kurtosis0.2876527245
Mean0.5387681815
Median Absolute Deviation (MAD)0.08710801394
Skewness-0.2296606137
Sum6330.526132
Variance0.01874133423
MonotonicityNot monotonic
2023-05-05T18:08:43.862064image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4634146341 162
 
1.0%
0.5331010453 160
 
0.9%
0.5156794425 151
 
0.9%
0.5261324042 142
 
0.8%
0.4982578397 142
 
0.8%
0.5365853659 140
 
0.8%
0.5400696864 136
 
0.8%
0.6132404181 133
 
0.8%
0.5052264808 131
 
0.8%
0.5888501742 128
 
0.8%
Other values (236) 10325
61.1%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 8
< 0.1%
0.06271777003 2
 
< 0.1%
0.07317073171 2
 
< 0.1%
0.07665505226 3
 
< 0.1%
0.08013937282 1
 
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9860627178 1
 
< 0.1%
0.9477351916 2
 
< 0.1%
0.9407665505 6
< 0.1%
0.93728223 1
 
< 0.1%

volleys_away_forward
Real number (ℝ)

Distinct238
Distinct (%)2.0%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4561972207
Minimum0
Maximum1
Zeros108
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:44.042006image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2029520295
Q10.2693726937
median0.4575645756
Q30.6014760148
95-th percentile0.8191881919
Maximum1
Range1
Interquartile range (IQR)0.332103321

Descriptive statistics

Standard deviation0.2039727211
Coefficient of variation (CV)0.447115221
Kurtosis-0.8340224998
Mean0.4561972207
Median Absolute Deviation (MAD)0.1771217712
Skewness0.3137355951
Sum5360.317343
Variance0.04160487097
MonotonicityNot monotonic
2023-05-05T18:08:44.209953image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2546125461 219
 
1.3%
0.2435424354 200
 
1.2%
0.258302583 193
 
1.1%
0.2804428044 183
 
1.1%
0.2619926199 181
 
1.1%
0.2693726937 178
 
1.1%
0.2509225092 177
 
1.0%
0.2398523985 172
 
1.0%
0.2730627306 167
 
1.0%
0.2656826568 161
 
1.0%
Other values (228) 9919
58.7%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 108
0.6%
0.0442804428 5
 
< 0.1%
0.0479704797 1
 
< 0.1%
0.05535055351 1
 
< 0.1%
0.07749077491 1
 
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9889298893 1
 
< 0.1%
0.963099631 1
 
< 0.1%
0.9520295203 11
0.1%
0.9483394834 1
 
< 0.1%

volleys_away_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct45
Distinct (%)0.4%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.2405205057
Minimum0
Maximum1
Zeros261
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:44.399891image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1014492754
Q10.1594202899
median0.2173913043
Q30.3623188406
95-th percentile0.3623188406
Maximum1
Range1
Interquartile range (IQR)0.2028985507

Descriptive statistics

Standard deviation0.1049204672
Coefficient of variation (CV)0.4362225452
Kurtosis-0.3468898363
Mean0.2405205057
Median Absolute Deviation (MAD)0.07246376812
Skewness0.1731455351
Sum2826.115942
Variance0.01100830443
MonotonicityNot monotonic
2023-05-05T18:08:44.595829image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0.3623188406 3322
19.7%
0.1739130435 1130
 
6.7%
0.1594202899 976
 
5.8%
0.1884057971 817
 
4.8%
0.1449275362 614
 
3.6%
0.1304347826 539
 
3.2%
0.2028985507 521
 
3.1%
0.2173913043 462
 
2.7%
0.1014492754 385
 
2.3%
0.2753623188 380
 
2.2%
Other values (35) 2604
15.4%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 261
1.5%
0.01449275362 11
 
0.1%
0.02898550725 3
 
< 0.1%
0.05797101449 28
 
0.2%
0.07246376812 17
 
0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.8695652174 2
< 0.1%
0.652173913 1
< 0.1%
0.6376811594 1
< 0.1%
0.6231884058 1
< 0.1%

volleys_away_midfielder
Real number (ℝ)

Distinct356
Distinct (%)3.0%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5586101986
Minimum0
Maximum0.9928741093
Zeros6
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:44.781276image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3241092637
Q10.4441805226
median0.5605700713
Q30.6674584323
95-th percentile0.809976247
Maximum0.9928741093
Range0.9928741093
Interquartile range (IQR)0.2232779097

Descriptive statistics

Standard deviation0.1524081329
Coefficient of variation (CV)0.2728344977
Kurtosis-0.3933953902
Mean0.5586101986
Median Absolute Deviation (MAD)0.1116389549
Skewness0.00600730999
Sum6563.669834
Variance0.02322823898
MonotonicityNot monotonic
2023-05-05T18:08:44.952221image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5320665083 88
 
0.5%
0.5605700713 83
 
0.5%
0.4845605701 82
 
0.5%
0.6413301663 82
 
0.5%
0.6508313539 79
 
0.5%
0.5819477435 78
 
0.5%
0.5985748219 77
 
0.5%
0.4536817102 77
 
0.5%
0.513064133 76
 
0.4%
0.4109263658 74
 
0.4%
Other values (346) 10954
64.8%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 6
< 0.1%
0.03800475059 1
 
< 0.1%
0.06650831354 2
 
< 0.1%
0.07363420428 1
 
< 0.1%
0.0783847981 1
 
< 0.1%
ValueCountFrequency (%)
0.9928741093 1
< 0.1%
0.9881235154 2
< 0.1%
0.9857482185 1
< 0.1%
0.9786223278 1
< 0.1%
0.9596199525 1
< 0.1%

volleys_home_defense
Real number (ℝ)

Distinct240
Distinct (%)2.0%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5504114485
Minimum0
Maximum1
Zeros11
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:45.126165image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3096085409
Q10.4661921708
median0.5516014235
Q30.6441281139
95-th percentile0.7758007117
Maximum1
Range1
Interquartile range (IQR)0.1779359431

Descriptive statistics

Standard deviation0.1391834758
Coefficient of variation (CV)0.2528716949
Kurtosis0.3044975439
Mean0.5504114485
Median Absolute Deviation (MAD)0.08896797153
Skewness-0.2731916694
Sum6467.33452
Variance0.01937203995
MonotonicityNot monotonic
2023-05-05T18:08:45.314106image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.537366548 152
 
0.9%
0.5409252669 145
 
0.9%
0.5444839858 143
 
0.8%
0.5266903915 141
 
0.8%
0.5160142349 138
 
0.8%
0.5053380783 138
 
0.8%
0.5088967972 135
 
0.8%
0.4733096085 135
 
0.8%
0.4804270463 133
 
0.8%
0.5800711744 133
 
0.8%
Other values (230) 10357
61.3%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 11
0.1%
0.03914590747 2
 
< 0.1%
0.0640569395 3
 
< 0.1%
0.08185053381 1
 
< 0.1%
0.08540925267 6
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9822064057 1
 
< 0.1%
0.9679715302 1
 
< 0.1%
0.9644128114 1
 
< 0.1%
0.9608540925 3
< 0.1%

volleys_home_forward
Real number (ℝ)

Distinct233
Distinct (%)2.0%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4781481241
Minimum0
Maximum1
Zeros113
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:45.520041image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2099236641
Q10.2824427481
median0.4847328244
Q30.6259541985
95-th percentile0.8473282443
Maximum1
Range1
Interquartile range (IQR)0.3435114504

Descriptive statistics

Standard deviation0.2096648816
Coefficient of variation (CV)0.4384935777
Kurtosis-0.8188583421
Mean0.4781481241
Median Absolute Deviation (MAD)0.1870229008
Skewness0.2633584431
Sum5618.240458
Variance0.04395936257
MonotonicityNot monotonic
2023-05-05T18:08:45.703981image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2633587786 205
 
1.2%
0.2519083969 195
 
1.2%
0.2786259542 177
 
1.0%
0.2748091603 171
 
1.0%
0.2709923664 166
 
1.0%
0.2900763359 161
 
1.0%
0.2824427481 161
 
1.0%
0.2480916031 158
 
0.9%
0.2595419847 156
 
0.9%
0.2557251908 151
 
0.9%
Other values (223) 10049
59.5%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 113
0.7%
0.04580152672 4
 
< 0.1%
0.08778625954 1
 
< 0.1%
0.1030534351 3
 
< 0.1%
0.1145038168 4
 
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9961832061 2
 
< 0.1%
0.9885496183 2
 
< 0.1%
0.9847328244 7
< 0.1%
0.9809160305 1
 
< 0.1%

volleys_home_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct43
Distinct (%)0.4%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.2864225972
Minimum0
Maximum1
Zeros246
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:45.903918image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1206896552
Q10.1896551724
median0.2586206897
Q30.4310344828
95-th percentile0.4310344828
Maximum1
Range1
Interquartile range (IQR)0.2413793103

Descriptive statistics

Standard deviation0.1241292279
Coefficient of variation (CV)0.4333779146
Kurtosis-0.6387659777
Mean0.2864225972
Median Absolute Deviation (MAD)0.08620689655
Skewness0.1336802355
Sum3365.465517
Variance0.01540806521
MonotonicityNot monotonic
2023-05-05T18:08:46.093884image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0.4310344828 3331
19.7%
0.2068965517 1157
 
6.8%
0.1896551724 978
 
5.8%
0.224137931 839
 
5.0%
0.1724137931 616
 
3.6%
0.1551724138 502
 
3.0%
0.2413793103 502
 
3.0%
0.2586206897 474
 
2.8%
0.1206896552 384
 
2.3%
0.3275862069 364
 
2.2%
Other values (33) 2603
15.4%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 246
1.5%
0.01724137931 12
 
0.1%
0.03448275862 4
 
< 0.1%
0.05172413793 4
 
< 0.1%
0.06896551724 30
 
0.2%
ValueCountFrequency (%)
1 2
 
< 0.1%
0.775862069 1
 
< 0.1%
0.7586206897 2
 
< 0.1%
0.724137931 2
 
< 0.1%
0.7068965517 5
< 0.1%

volleys_home_midfielder
Real number (ℝ)

Distinct352
Distinct (%)3.0%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5270483732
Minimum0
Maximum1
Zeros12
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:46.311869image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3049327354
Q10.4170403587
median0.5291479821
Q30.6322869955
95-th percentile0.7623318386
Maximum1
Range1
Interquartile range (IQR)0.2152466368

Descriptive statistics

Standard deviation0.1439224255
Coefficient of variation (CV)0.2730725164
Kurtosis-0.4008854511
Mean0.5270483732
Median Absolute Deviation (MAD)0.1076233184
Skewness-0.008817054537
Sum6192.818386
Variance0.02071366457
MonotonicityNot monotonic
2023-05-05T18:08:46.495862image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5515695067 87
 
0.5%
0.5874439462 82
 
0.5%
0.5829596413 80
 
0.5%
0.5627802691 79
 
0.5%
0.6143497758 75
 
0.4%
0.600896861 74
 
0.4%
0.5538116592 74
 
0.4%
0.4596412556 74
 
0.4%
0.5493273543 73
 
0.4%
0.4215246637 72
 
0.4%
Other values (342) 10980
65.0%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 12
0.1%
0.04708520179 2
 
< 0.1%
0.06950672646 1
 
< 0.1%
0.07174887892 1
 
< 0.1%
0.07847533632 1
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9708520179 1
< 0.1%
0.9372197309 1
< 0.1%
0.9304932735 1
< 0.1%
0.9260089686 1
< 0.1%

dribbling_away_defense
Real number (ℝ)

Distinct269
Distinct (%)2.3%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.6224668072
Minimum0
Maximum1
Zeros8
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:46.691885image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3933933934
Q10.5525525526
median0.6396396396
Q30.7057057057
95-th percentile0.7957957958
Maximum1
Range1
Interquartile range (IQR)0.1531531532

Descriptive statistics

Standard deviation0.1244517677
Coefficient of variation (CV)0.1999331792
Kurtosis1.465794747
Mean0.6224668072
Median Absolute Deviation (MAD)0.07507507508
Skewness-0.8839291195
Sum7313.984985
Variance0.01548824249
MonotonicityNot monotonic
2023-05-05T18:08:46.873899image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6576576577 158
 
0.9%
0.6786786787 158
 
0.9%
0.6636636637 153
 
0.9%
0.6396396396 151
 
0.9%
0.6156156156 149
 
0.9%
0.6366366366 147
 
0.9%
0.6336336336 143
 
0.8%
0.7027027027 140
 
0.8%
0.6516516517 139
 
0.8%
0.6936936937 137
 
0.8%
Other values (259) 10275
60.8%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 8
< 0.1%
0.06306306306 2
 
< 0.1%
0.06906906907 1
 
< 0.1%
0.07807807808 1
 
< 0.1%
0.08108108108 3
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.984984985 1
< 0.1%
0.963963964 1
< 0.1%
0.954954955 2
< 0.1%
0.951951952 1
< 0.1%

dribbling_away_forward
Real number (ℝ)

Distinct242
Distinct (%)2.1%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4704402211
Minimum0
Maximum1
Zeros108
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:47.046868image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2099644128
Q10.2597864769
median0.4768683274
Q30.6014234875
95-th percentile0.8505338078
Maximum1
Range1
Interquartile range (IQR)0.3416370107

Descriptive statistics

Standard deviation0.2191980756
Coefficient of variation (CV)0.4659424635
Kurtosis-0.9320367287
Mean0.4704402211
Median Absolute Deviation (MAD)0.2099644128
Skewness0.3532980505
Sum5527.672598
Variance0.04804779632
MonotonicityNot monotonic
2023-05-05T18:08:47.220871image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2419928826 266
 
1.6%
0.2633451957 257
 
1.5%
0.2597864769 255
 
1.5%
0.256227758 229
 
1.4%
0.2526690391 219
 
1.3%
0.2704626335 209
 
1.2%
0.2669039146 201
 
1.2%
0.2455516014 187
 
1.1%
0.2491103203 178
 
1.1%
0.2740213523 169
 
1.0%
Other values (232) 9580
56.7%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 108
0.6%
0.03914590747 4
 
< 0.1%
0.07117437722 1
 
< 0.1%
0.1138790036 1
 
< 0.1%
0.1316725979 1
 
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9964412811 4
< 0.1%
0.9893238434 8
< 0.1%
0.9822064057 1
 
< 0.1%
0.9786476868 1
 
< 0.1%

dribbling_away_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct48
Distinct (%)0.4%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.2576973995
Minimum0
Maximum0.9166666667
Zeros261
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:47.394885image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.125
Q10.1805555556
median0.2777777778
Q30.3472222222
95-th percentile0.3472222222
Maximum0.9166666667
Range0.9166666667
Interquartile range (IQR)0.1666666667

Descriptive statistics

Standard deviation0.09943828858
Coefficient of variation (CV)0.3858723012
Kurtosis2.042914648
Mean0.2576973995
Median Absolute Deviation (MAD)0.06944444444
Skewness0.1800526835
Sum3027.944444
Variance0.009887973236
MonotonicityNot monotonic
2023-05-05T18:08:47.559880image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0.3472222222 3342
19.8%
0.1805555556 944
 
5.6%
0.2916666667 802
 
4.7%
0.1666666667 754
 
4.5%
0.1527777778 687
 
4.1%
0.3055555556 660
 
3.9%
0.1944444444 558
 
3.3%
0.2777777778 539
 
3.2%
0.1388888889 489
 
2.9%
0.2222222222 358
 
2.1%
Other values (38) 2617
15.5%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 261
1.5%
0.04166666667 3
 
< 0.1%
0.05555555556 3
 
< 0.1%
0.06944444444 5
 
< 0.1%
0.08333333333 24
 
0.1%
ValueCountFrequency (%)
0.9166666667 1
 
< 0.1%
0.875 10
0.1%
0.8472222222 8
< 0.1%
0.8055555556 1
 
< 0.1%
0.7916666667 2
 
< 0.1%

dribbling_away_midfielder
Real number (ℝ)

Distinct353
Distinct (%)3.0%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5696159855
Minimum0
Maximum0.8823529412
Zeros6
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:47.734876image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3630831643
Q10.4543610548
median0.5740365112
Q30.6795131846
95-th percentile0.784989858
Maximum0.8823529412
Range0.8823529412
Interquartile range (IQR)0.2251521298

Descriptive statistics

Standard deviation0.1387319433
Coefficient of variation (CV)0.2435534585
Kurtosis-0.492009489
Mean0.5696159855
Median Absolute Deviation (MAD)0.1135902637
Skewness-0.163135519
Sum6692.98783
Variance0.01924655208
MonotonicityNot monotonic
2023-05-05T18:08:47.897887image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5801217039 84
 
0.5%
0.6004056795 84
 
0.5%
0.415821501 82
 
0.5%
0.6105476673 80
 
0.5%
0.584178499 79
 
0.5%
0.5902636917 78
 
0.5%
0.5922920892 75
 
0.4%
0.4016227181 75
 
0.4%
0.6064908722 73
 
0.4%
0.5963488844 72
 
0.4%
Other values (343) 10968
64.9%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 6
< 0.1%
0.08722109533 1
 
< 0.1%
0.0892494929 1
 
< 0.1%
0.1034482759 1
 
< 0.1%
0.1054766734 2
 
< 0.1%
ValueCountFrequency (%)
0.8823529412 1
 
< 0.1%
0.8742393509 1
 
< 0.1%
0.8722109533 1
 
< 0.1%
0.8701825558 2
< 0.1%
0.8681541582 4
< 0.1%

dribbling_home_defense
Real number (ℝ)

Distinct270
Distinct (%)2.3%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.6230323941
Minimum0
Maximum1
Zeros11
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:48.070899image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3933933934
Q10.5555555556
median0.6411411411
Q30.7087087087
95-th percentile0.7957957958
Maximum1
Range1
Interquartile range (IQR)0.1531531532

Descriptive statistics

Standard deviation0.124403018
Coefficient of variation (CV)0.1996734346
Kurtosis1.553228347
Mean0.6230323941
Median Absolute Deviation (MAD)0.07357357357
Skewness-0.9236553409
Sum7320.630631
Variance0.01547611089
MonotonicityNot monotonic
2023-05-05T18:08:48.266895image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6636636637 164
 
1.0%
0.6786786787 154
 
0.9%
0.6156156156 146
 
0.9%
0.6816816817 146
 
0.9%
0.6396396396 146
 
0.9%
0.6936936937 145
 
0.9%
0.7027027027 142
 
0.8%
0.6366366366 142
 
0.8%
0.6666666667 140
 
0.8%
0.6576576577 137
 
0.8%
Other values (260) 10288
60.9%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 11
0.1%
0.06306306306 2
 
< 0.1%
0.06606606607 1
 
< 0.1%
0.06906906907 1
 
< 0.1%
0.07507507508 1
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.972972973 1
< 0.1%
0.954954955 1
< 0.1%
0.9489489489 1
< 0.1%
0.9399399399 2
< 0.1%

dribbling_home_forward
Real number (ℝ)

Distinct245
Distinct (%)2.1%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.474489286
Minimum0
Maximum1
Zeros113
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:48.509888image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2099644128
Q10.2633451957
median0.4804270463
Q30.6014234875
95-th percentile0.846975089
Maximum1
Range1
Interquartile range (IQR)0.3380782918

Descriptive statistics

Standard deviation0.2163688426
Coefficient of variation (CV)0.4560036422
Kurtosis-0.8989558523
Mean0.474489286
Median Absolute Deviation (MAD)0.2099644128
Skewness0.3106353993
Sum5575.24911
Variance0.04681547604
MonotonicityNot monotonic
2023-05-05T18:08:48.737324image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2597864769 256
 
1.5%
0.2633451957 243
 
1.4%
0.2419928826 223
 
1.3%
0.256227758 199
 
1.2%
0.2526690391 191
 
1.1%
0.2704626335 187
 
1.1%
0.2455516014 181
 
1.1%
0.2669039146 180
 
1.1%
0.2740213523 163
 
1.0%
0.2491103203 162
 
1.0%
Other values (235) 9765
57.8%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 113
0.7%
0.03914590747 3
 
< 0.1%
0.07117437722 1
 
< 0.1%
0.1245551601 1
 
< 0.1%
0.1387900356 1
 
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9964412811 6
< 0.1%
0.9928825623 2
 
< 0.1%
0.9893238434 6
< 0.1%
0.9857651246 1
 
< 0.1%

dribbling_home_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct44
Distinct (%)0.4%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.2947382641
Minimum0
Maximum1
Zeros246
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:48.957253image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1428571429
Q10.2063492063
median0.3174603175
Q30.3968253968
95-th percentile0.3968253968
Maximum1
Range1
Interquartile range (IQR)0.1904761905

Descriptive statistics

Standard deviation0.1124781597
Coefficient of variation (CV)0.3816204864
Kurtosis2.075897373
Mean0.2947382641
Median Absolute Deviation (MAD)0.07936507937
Skewness0.171795488
Sum3463.174603
Variance0.01265133641
MonotonicityNot monotonic
2023-05-05T18:08:49.141195image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0.3968253968 3341
19.8%
0.2063492063 917
 
5.4%
0.3333333333 805
 
4.8%
0.1904761905 793
 
4.7%
0.1746031746 684
 
4.0%
0.3492063492 677
 
4.0%
0.3174603175 551
 
3.3%
0.2222222222 547
 
3.2%
0.1587301587 495
 
2.9%
0.3650793651 338
 
2.0%
Other values (34) 2602
15.4%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 246
1.5%
0.04761904762 4
 
< 0.1%
0.06349206349 1
 
< 0.1%
0.07936507937 8
 
< 0.1%
0.09523809524 30
 
0.2%
ValueCountFrequency (%)
1 10
0.1%
0.9682539683 9
0.1%
0.9047619048 4
 
< 0.1%
0.8095238095 3
 
< 0.1%
0.7301587302 1
 
< 0.1%

dribbling_home_midfielder
Real number (ℝ)

Distinct364
Distinct (%)3.1%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5721454262
Minimum0
Maximum1
Zeros12
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:49.337132image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3645621181
Q10.4562118126
median0.5784114053
Q30.6802443992
95-th percentile0.7942973523
Maximum1
Range1
Interquartile range (IQR)0.2240325866

Descriptive statistics

Standard deviation0.139643303
Coefficient of variation (CV)0.244069596
Kurtosis-0.4064553042
Mean0.5721454262
Median Absolute Deviation (MAD)0.1120162933
Skewness-0.1514039743
Sum6722.708758
Variance0.01950025208
MonotonicityNot monotonic
2023-05-05T18:08:49.526072image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5926680244 91
 
0.5%
0.5824847251 88
 
0.5%
0.5885947047 81
 
0.5%
0.5987780041 78
 
0.5%
0.4236252546 76
 
0.4%
0.5906313646 75
 
0.4%
0.5865580448 75
 
0.4%
0.4399185336 74
 
0.4%
0.6130346232 73
 
0.4%
0.600814664 73
 
0.4%
Other values (354) 10966
64.9%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 12
0.1%
0.0549898167 1
 
< 0.1%
0.08146639511 1
 
< 0.1%
0.1038696538 1
 
< 0.1%
0.1079429735 1
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9857433809 1
< 0.1%
0.900203666 1
< 0.1%
0.8940936864 2
< 0.1%
0.8879837067 1
< 0.1%

curve_away_defense
Real number (ℝ)

Distinct262
Distinct (%)2.2%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.586449351
Minimum0
Maximum1
Zeros8
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:49.718010image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3553459119
Q10.5094339623
median0.5974842767
Q30.6761006289
95-th percentile0.7798742138
Maximum1
Range1
Interquartile range (IQR)0.1666666667

Descriptive statistics

Standard deviation0.1299751527
Coefficient of variation (CV)0.2216306532
Kurtosis0.6153856445
Mean0.586449351
Median Absolute Deviation (MAD)0.08490566038
Skewness-0.5179442214
Sum6890.779874
Variance0.01689354032
MonotonicityNot monotonic
2023-05-05T18:08:49.955935image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5786163522 156
 
0.9%
0.6352201258 144
 
0.9%
0.641509434 142
 
0.8%
0.6006289308 139
 
0.8%
0.6257861635 136
 
0.8%
0.5943396226 136
 
0.8%
0.5817610063 131
 
0.8%
0.6100628931 131
 
0.8%
0.6446540881 130
 
0.8%
0.5911949686 128
 
0.8%
Other values (252) 10377
61.4%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 8
< 0.1%
0.05660377358 2
 
< 0.1%
0.06289308176 1
 
< 0.1%
0.06603773585 5
< 0.1%
0.07232704403 1
 
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9842767296 3
< 0.1%
0.9811320755 1
 
< 0.1%
0.9748427673 1
 
< 0.1%
0.965408805 3
< 0.1%

curve_away_forward
Real number (ℝ)

Distinct240
Distinct (%)2.0%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.440797587
Minimum0
Maximum1
Zeros108
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:50.157916image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1647509579
Q10.2528735632
median0.4214559387
Q30.5900383142
95-th percentile0.8429118774
Maximum1
Range1
Interquartile range (IQR)0.337164751

Descriptive statistics

Standard deviation0.2188112816
Coefficient of variation (CV)0.4963985467
Kurtosis-0.7369419461
Mean0.440797587
Median Absolute Deviation (MAD)0.1685823755
Skewness0.4598689333
Sum5179.371648
Variance0.04787837694
MonotonicityNot monotonic
2023-05-05T18:08:50.348902image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2605363985 180
 
1.1%
0.2528735632 179
 
1.1%
0.2222222222 172
 
1.0%
0.2298850575 156
 
0.9%
0.2567049808 155
 
0.9%
0.2681992337 148
 
0.9%
0.2375478927 142
 
0.8%
0.2643678161 140
 
0.8%
0.214559387 136
 
0.8%
0.2068965517 135
 
0.8%
Other values (230) 10207
60.4%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 108
0.6%
0.030651341 4
 
< 0.1%
0.03831417625 1
 
< 0.1%
0.08045977011 6
 
< 0.1%
0.08429118774 2
 
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9808429119 1
 
< 0.1%
0.9770114943 9
0.1%
0.9731800766 14
0.1%
0.969348659 14
0.1%

curve_away_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct49
Distinct (%)0.4%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.2536814958
Minimum0
Maximum1
Zeros261
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:50.535948image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1060606061
Q10.1666666667
median0.2121212121
Q30.3787878788
95-th percentile0.3787878788
Maximum1
Range1
Interquartile range (IQR)0.2121212121

Descriptive statistics

Standard deviation0.1151243248
Coefficient of variation (CV)0.4538144353
Kurtosis0.9530235739
Mean0.2536814958
Median Absolute Deviation (MAD)0.07575757576
Skewness0.5482844858
Sum2980.757576
Variance0.01325361015
MonotonicityNot monotonic
2023-05-05T18:08:50.722940image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0.3787878788 3343
19.8%
0.1818181818 1057
 
6.3%
0.1666666667 965
 
5.7%
0.196969697 820
 
4.9%
0.1515151515 776
 
4.6%
0.2121212121 718
 
4.2%
0.1363636364 576
 
3.4%
0.2272727273 447
 
2.6%
0.1212121212 413
 
2.4%
0.2575757576 352
 
2.1%
Other values (39) 2283
13.5%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 261
1.5%
0.0303030303 3
 
< 0.1%
0.07575757576 133
0.8%
0.09090909091 64
 
0.4%
0.1060606061 147
0.9%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9393939394 1
 
< 0.1%
0.9242424242 2
 
< 0.1%
0.8787878788 1
 
< 0.1%
0.8181818182 5
< 0.1%

curve_away_midfielder
Real number (ℝ)

Distinct363
Distinct (%)3.1%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5354518148
Minimum0
Maximum0.8907563025
Zeros6
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:50.902936image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3214285714
Q10.4285714286
median0.5336134454
Q30.6386554622
95-th percentile0.7647058824
Maximum0.8907563025
Range0.8907563025
Interquartile range (IQR)0.2100840336

Descriptive statistics

Standard deviation0.1397374318
Coefficient of variation (CV)0.2609710678
Kurtosis-0.4921587733
Mean0.5354518148
Median Absolute Deviation (MAD)0.1050420168
Skewness-0.008781016747
Sum6291.558824
Variance0.01952654986
MonotonicityNot monotonic
2023-05-05T18:08:51.074907image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6050420168 86
 
0.5%
0.4369747899 80
 
0.5%
0.4180672269 79
 
0.5%
0.5714285714 78
 
0.5%
0.5798319328 78
 
0.5%
0.5399159664 77
 
0.5%
0.4327731092 74
 
0.4%
0.5924369748 74
 
0.4%
0.4558823529 73
 
0.4%
0.4411764706 73
 
0.4%
Other values (353) 10978
65.0%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 6
< 0.1%
0.07773109244 1
 
< 0.1%
0.08193277311 1
 
< 0.1%
0.09033613445 1
 
< 0.1%
0.1029411765 3
< 0.1%
ValueCountFrequency (%)
0.8907563025 1
< 0.1%
0.8886554622 2
< 0.1%
0.8865546218 2
< 0.1%
0.8823529412 1
< 0.1%
0.8802521008 1
< 0.1%

curve_home_defense
Real number (ℝ)

Distinct263
Distinct (%)2.2%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5911039591
Minimum0
Maximum1
Zeros11
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:51.976263image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3575949367
Q10.5126582278
median0.6012658228
Q30.6803797468
95-th percentile0.7816455696
Maximum1
Range1
Interquartile range (IQR)0.167721519

Descriptive statistics

Standard deviation0.1302529567
Coefficient of variation (CV)0.2203554125
Kurtosis0.6696524132
Mean0.5911039591
Median Absolute Deviation (MAD)0.08544303797
Skewness-0.5622007451
Sum6945.471519
Variance0.01696583274
MonotonicityNot monotonic
2023-05-05T18:08:52.149208image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.582278481 152
 
0.9%
0.6139240506 145
 
0.9%
0.6297468354 135
 
0.8%
0.5886075949 132
 
0.8%
0.6360759494 130
 
0.8%
0.6012658228 128
 
0.8%
0.6455696203 126
 
0.7%
0.6392405063 126
 
0.7%
0.5759493671 125
 
0.7%
0.5189873418 124
 
0.7%
Other values (253) 10427
61.7%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 11
0.1%
0.05696202532 3
 
< 0.1%
0.06329113924 1
 
< 0.1%
0.0664556962 1
 
< 0.1%
0.07278481013 2
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9841772152 2
< 0.1%
0.9810126582 1
< 0.1%
0.9715189873 1
< 0.1%
0.9651898734 1
< 0.1%

curve_home_forward
Real number (ℝ)

Distinct239
Distinct (%)2.0%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4436732697
Minimum0
Maximum1
Zeros113
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:52.341147image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1609195402
Q10.2567049808
median0.4291187739
Q30.5862068966
95-th percentile0.8429118774
Maximum1
Range1
Interquartile range (IQR)0.3295019157

Descriptive statistics

Standard deviation0.2163773335
Coefficient of variation (CV)0.4876952214
Kurtosis-0.7172111791
Mean0.4436732697
Median Absolute Deviation (MAD)0.1685823755
Skewness0.4239865688
Sum5213.16092
Variance0.04681915046
MonotonicityNot monotonic
2023-05-05T18:08:52.588068image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2605363985 190
 
1.1%
0.2222222222 170
 
1.0%
0.2567049808 164
 
1.0%
0.2528735632 145
 
0.9%
0.1992337165 140
 
0.8%
0.275862069 139
 
0.8%
0.2298850575 134
 
0.8%
0.2337164751 133
 
0.8%
0.2375478927 125
 
0.7%
0.2643678161 123
 
0.7%
Other values (229) 10287
60.9%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 113
0.7%
0.030651341 3
 
< 0.1%
0.03831417625 1
 
< 0.1%
0.08045977011 9
 
0.1%
0.08812260536 1
 
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9846743295 1
 
< 0.1%
0.9808429119 3
 
< 0.1%
0.9770114943 10
0.1%
0.9731800766 10
0.1%

curve_home_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct48
Distinct (%)0.4%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.2206629339
Minimum0
Maximum0.9342105263
Zeros246
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:52.816995image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1052631579
Q10.1447368421
median0.1842105263
Q30.3289473684
95-th percentile0.3289473684
Maximum0.9342105263
Range0.9342105263
Interquartile range (IQR)0.1842105263

Descriptive statistics

Standard deviation0.09957931258
Coefficient of variation (CV)0.4512734006
Kurtosis1.262179949
Mean0.2206629339
Median Absolute Deviation (MAD)0.06578947368
Skewness0.5957862741
Sum2592.789474
Variance0.009916039493
MonotonicityNot monotonic
2023-05-05T18:08:53.028928image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0.3289473684 3348
19.8%
0.1578947368 1140
 
6.7%
0.1447368421 970
 
5.7%
0.1710526316 815
 
4.8%
0.1315789474 777
 
4.6%
0.1842105263 750
 
4.4%
0.1184210526 553
 
3.3%
0.1973684211 438
 
2.6%
0.1052631579 403
 
2.4%
0.2236842105 370
 
2.2%
Other values (38) 2186
12.9%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 246
1.5%
0.02631578947 1
 
< 0.1%
0.05263157895 1
 
< 0.1%
0.06578947368 126
0.7%
0.07894736842 68
 
0.4%
ValueCountFrequency (%)
0.9342105263 2
 
< 0.1%
0.8026315789 5
< 0.1%
0.7105263158 3
 
< 0.1%
0.6710526316 11
0.1%
0.6578947368 2
 
< 0.1%

curve_home_midfielder
Real number (ℝ)

Distinct358
Distinct (%)3.0%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5323832452
Minimum0
Maximum1
Zeros12
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:53.216374image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3194154489
Q10.4258872651
median0.5281837161
Q30.6346555324
95-th percentile0.764091858
Maximum1
Range1
Interquartile range (IQR)0.2087682672

Descriptive statistics

Standard deviation0.1398826917
Coefficient of variation (CV)0.2627481104
Kurtosis-0.426665517
Mean0.5323832452
Median Absolute Deviation (MAD)0.1043841336
Skewness4.341825699 × 10-5
Sum6255.503132
Variance0.01956716743
MonotonicityNot monotonic
2023-05-05T18:08:53.405313image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4342379958 91
 
0.5%
0.496868476 90
 
0.5%
0.4300626305 81
 
0.5%
0.4509394572 79
 
0.5%
0.5678496868 78
 
0.5%
0.4384133612 78
 
0.5%
0.6012526096 77
 
0.5%
0.5762004175 77
 
0.5%
0.4091858038 77
 
0.5%
0.4613778706 74
 
0.4%
Other values (348) 10948
64.8%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 12
0.1%
0.06263048017 1
 
< 0.1%
0.08141962422 1
 
< 0.1%
0.08768267223 2
 
< 0.1%
0.08977035491 1
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9624217119 1
< 0.1%
0.8977035491 1
< 0.1%
0.8956158664 1
< 0.1%
0.885177453 1
< 0.1%
Distinct263
Distinct (%)2.2%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5600962314
Minimum0
Maximum1
Zeros8
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:53.584257image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3366013072
Q10.477124183
median0.5653594771
Q30.6503267974
95-th percentile0.7647058824
Maximum1
Range1
Interquartile range (IQR)0.1732026144

Descriptive statistics

Standard deviation0.1310691266
Coefficient of variation (CV)0.2340117987
Kurtosis0.4805885608
Mean0.5600962314
Median Absolute Deviation (MAD)0.08496732026
Skewness-0.339852243
Sum6581.130719
Variance0.01717911594
MonotonicityNot monotonic
2023-05-05T18:08:53.775195image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5849673203 149
 
0.9%
0.5490196078 141
 
0.8%
0.5130718954 138
 
0.8%
0.5947712418 137
 
0.8%
0.5816993464 135
 
0.8%
0.5522875817 132
 
0.8%
0.5424836601 132
 
0.8%
0.6470588235 130
 
0.8%
0.5882352941 130
 
0.8%
0.6209150327 129
 
0.8%
Other values (253) 10397
61.5%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 8
< 0.1%
0.02941176471 1
 
< 0.1%
0.04575163399 1
 
< 0.1%
0.05882352941 7
< 0.1%
0.06209150327 1
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9934640523 1
< 0.1%
0.9738562092 1
< 0.1%
0.9444444444 1
< 0.1%
0.9411764706 1
< 0.1%
Distinct237
Distinct (%)2.0%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4060591109
Minimum0
Maximum0.9961089494
Zeros108
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:53.968134image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.140077821
Q10.2256809339
median0.3891050584
Q30.5486381323
95-th percentile0.7859922179
Maximum0.9961089494
Range0.9961089494
Interquartile range (IQR)0.3229571984

Descriptive statistics

Standard deviation0.2073548143
Coefficient of variation (CV)0.5106517962
Kurtosis-0.6714068593
Mean0.4060591109
Median Absolute Deviation (MAD)0.1595330739
Skewness0.4737751787
Sum4771.194553
Variance0.04299601902
MonotonicityNot monotonic
2023-05-05T18:08:54.210057image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2256809339 176
 
1.0%
0.2023346304 166
 
1.0%
0.1984435798 163
 
1.0%
0.233463035 145
 
0.9%
0.2412451362 139
 
0.8%
0.2645914397 135
 
0.8%
0.2607003891 130
 
0.8%
0.2140077821 128
 
0.8%
0.1945525292 128
 
0.8%
0.1789883268 125
 
0.7%
Other values (227) 10315
61.0%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 108
0.6%
0.03112840467 4
 
< 0.1%
0.05058365759 3
 
< 0.1%
0.05447470817 5
 
< 0.1%
0.05836575875 1
 
< 0.1%
ValueCountFrequency (%)
0.9961089494 1
 
< 0.1%
0.9844357977 7
< 0.1%
0.9805447471 4
< 0.1%
0.9688715953 2
 
< 0.1%
0.9610894942 2
 
< 0.1%

free_kick_accuracy_away_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct51
Distinct (%)0.4%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.2336382979
Minimum0
Maximum1
Zeros261
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:54.416991image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.09722222222
Q10.1527777778
median0.1944444444
Q30.3472222222
95-th percentile0.3472222222
Maximum1
Range1
Interquartile range (IQR)0.1944444444

Descriptive statistics

Standard deviation0.1145035812
Coefficient of variation (CV)0.4900890919
Kurtosis7.896142911
Mean0.2336382979
Median Absolute Deviation (MAD)0.06944444444
Skewness1.618773325
Sum2745.25
Variance0.01311107011
MonotonicityNot monotonic
2023-05-05T18:08:54.603931image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3472222222 3267
19.3%
0.1527777778 1215
 
7.2%
0.1666666667 1126
 
6.7%
0.1805555556 917
 
5.4%
0.1944444444 668
 
4.0%
0.1388888889 599
 
3.5%
0.125 590
 
3.5%
0.2083333333 386
 
2.3%
0.2638888889 350
 
2.1%
0.2222222222 341
 
2.0%
Other values (41) 2291
13.6%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 261
1.5%
0.01388888889 6
 
< 0.1%
0.06944444444 49
 
0.3%
0.08333333333 132
0.8%
0.09722222222 168
1.0%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9861111111 29
0.2%
0.9166666667 21
0.1%
0.9027777778 7
 
< 0.1%
0.875 7
 
< 0.1%
Distinct341
Distinct (%)2.9%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5478634071
Minimum0
Maximum0.9097065463
Zeros6
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:54.827363image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3295711061
Q10.4401805869
median0.5485327314
Q30.6523702032
95-th percentile0.7787810384
Maximum0.9097065463
Range0.9097065463
Interquartile range (IQR)0.2121896163

Descriptive statistics

Standard deviation0.1414812997
Coefficient of variation (CV)0.2582419228
Kurtosis-0.4017466146
Mean0.5478634071
Median Absolute Deviation (MAD)0.1060948081
Skewness-0.06872755816
Sum6437.395034
Variance0.02001695816
MonotonicityNot monotonic
2023-05-05T18:08:54.996310image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4356659142 90
 
0.5%
0.6275395034 86
 
0.5%
0.5033860045 85
 
0.5%
0.4740406321 77
 
0.5%
0.5778781038 77
 
0.5%
0.5530474041 75
 
0.4%
0.5756207675 75
 
0.4%
0.4898419865 73
 
0.4%
0.5688487585 73
 
0.4%
0.4198645598 73
 
0.4%
Other values (331) 10966
64.9%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 6
< 0.1%
0.07223476298 2
 
< 0.1%
0.07449209932 1
 
< 0.1%
0.08126410835 1
 
< 0.1%
0.09255079007 1
 
< 0.1%
ValueCountFrequency (%)
0.9097065463 1
< 0.1%
0.9006772009 2
< 0.1%
0.8939051919 1
< 0.1%
0.8916478555 1
< 0.1%
0.8871331828 1
< 0.1%
Distinct263
Distinct (%)2.2%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5356598396
Minimum0
Maximum1
Zeros11
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:55.227236image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3208722741
Q10.4579439252
median0.53894081
Q30.6199376947
95-th percentile0.7289719626
Maximum1
Range1
Interquartile range (IQR)0.1619937695

Descriptive statistics

Standard deviation0.1245453799
Coefficient of variation (CV)0.2325083396
Kurtosis0.5626407417
Mean0.5356598396
Median Absolute Deviation (MAD)0.08099688474
Skewness-0.3596372257
Sum6294.003115
Variance0.01551155166
MonotonicityNot monotonic
2023-05-05T18:08:55.466160image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5856697819 143
 
0.8%
0.4890965732 142
 
0.8%
0.5264797508 141
 
0.8%
0.507788162 138
 
0.8%
0.554517134 137
 
0.8%
0.5576323988 136
 
0.8%
0.5514018692 134
 
0.8%
0.5638629283 133
 
0.8%
0.5358255452 130
 
0.8%
0.5794392523 130
 
0.8%
Other values (253) 10386
61.5%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 11
0.1%
0.02803738318 1
 
< 0.1%
0.04361370717 1
 
< 0.1%
0.05607476636 4
 
< 0.1%
0.06853582555 2
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9595015576 1
< 0.1%
0.9345794393 1
< 0.1%
0.9065420561 1
< 0.1%
0.9003115265 1
< 0.1%
Distinct233
Distinct (%)2.0%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4036268412
Minimum0
Maximum1
Zeros113
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:55.663097image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1384615385
Q10.2269230769
median0.3846153846
Q30.5423076923
95-th percentile0.7769230769
Maximum1
Range1
Interquartile range (IQR)0.3153846154

Descriptive statistics

Standard deviation0.2022763808
Coefficient of variation (CV)0.5011470005
Kurtosis-0.6602725789
Mean0.4036268412
Median Absolute Deviation (MAD)0.1576923077
Skewness0.4419958784
Sum4742.615385
Variance0.04091573423
MonotonicityNot monotonic
2023-05-05T18:08:55.922014image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2 200
 
1.2%
0.1961538462 156
 
0.9%
0.2230769231 154
 
0.9%
0.2153846154 131
 
0.8%
0.1884615385 126
 
0.7%
0.2269230769 123
 
0.7%
0.2576923077 121
 
0.7%
0.2115384615 120
 
0.7%
0.2307692308 116
 
0.7%
0 113
 
0.7%
Other values (223) 10390
61.5%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 113
0.7%
0.03076923077 3
 
< 0.1%
0.05384615385 6
 
< 0.1%
0.05769230769 1
 
< 0.1%
0.08076923077 4
 
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9846153846 1
 
< 0.1%
0.9730769231 6
< 0.1%
0.9692307692 4
< 0.1%
0.9576923077 1
 
< 0.1%

free_kick_accuracy_home_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct47
Distinct (%)0.4%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.2279884991
Minimum0
Maximum0.9594594595
Zeros246
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:56.190437image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1081081081
Q10.1486486486
median0.1891891892
Q30.3378378378
95-th percentile0.3378378378
Maximum0.9594594595
Range0.9594594595
Interquartile range (IQR)0.1891891892

Descriptive statistics

Standard deviation0.110842097
Coefficient of variation (CV)0.4861740719
Kurtosis7.653976042
Mean0.2279884991
Median Absolute Deviation (MAD)0.06756756757
Skewness1.596301303
Sum2678.864865
Variance0.01228597046
MonotonicityNot monotonic
2023-05-05T18:08:56.424362image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0.3378378378 3301
19.5%
0.1486486486 1216
 
7.2%
0.1621621622 1107
 
6.6%
0.1756756757 1010
 
6.0%
0.1891891892 622
 
3.7%
0.1216216216 597
 
3.5%
0.1351351351 593
 
3.5%
0.2027027027 404
 
2.4%
0.2567567568 345
 
2.0%
0.2162162162 335
 
2.0%
Other values (37) 2220
13.1%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 246
1.5%
0.01351351351 5
 
< 0.1%
0.06756756757 34
 
0.2%
0.08108108108 137
0.8%
0.09459459459 143
0.8%
ValueCountFrequency (%)
0.9594594595 23
0.1%
0.8918918919 27
0.2%
0.8783783784 7
 
< 0.1%
0.8513513514 9
 
0.1%
0.8108108108 10
 
0.1%
Distinct343
Distinct (%)2.9%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.573509582
Minimum0
Maximum1
Zeros12
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:56.617300image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3451536643
Q10.4609929078
median0.5744680851
Q30.6808510638
95-th percentile0.8156028369
Maximum1
Range1
Interquartile range (IQR)0.219858156

Descriptive statistics

Standard deviation0.1477816143
Coefficient of variation (CV)0.2576794163
Kurtosis-0.3483883692
Mean0.573509582
Median Absolute Deviation (MAD)0.1087470449
Skewness-0.06405473871
Sum6738.737589
Variance0.02183940553
MonotonicityNot monotonic
2023-05-05T18:08:56.857224image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6430260047 90
 
0.5%
0.5862884161 82
 
0.5%
0.4397163121 82
 
0.5%
0.4444444444 82
 
0.5%
0.6524822695 81
 
0.5%
0.6501182033 80
 
0.5%
0.6264775414 80
 
0.5%
0.6122931442 80
 
0.5%
0.5815602837 76
 
0.4%
0.4869976359 76
 
0.4%
Other values (333) 10941
64.7%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 12
0.1%
0.05910165485 1
 
< 0.1%
0.06382978723 2
 
< 0.1%
0.0780141844 2
 
< 0.1%
0.1040189125 2
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9739952719 1
< 0.1%
0.9669030733 1
< 0.1%
0.9621749409 2
< 0.1%
0.9550827423 1
< 0.1%

long_passing_away_defense
Real number (ℝ)

Distinct280
Distinct (%)2.4%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.6388587258
Minimum0
Maximum1
Zeros8
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:57.133136image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4349030471
Q10.5817174515
median0.6592797784
Q30.7167590028
95-th percentile0.783933518
Maximum1
Range1
Interquartile range (IQR)0.1350415512

Descriptive statistics

Standard deviation0.1135314953
Coefficient of variation (CV)0.1777098609
Kurtosis2.400227592
Mean0.6388587258
Median Absolute Deviation (MAD)0.06648199446
Skewness-1.104457115
Sum7506.590028
Variance0.01288940043
MonotonicityNot monotonic
2023-05-05T18:08:57.398052image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7091412742 176
 
1.0%
0.6869806094 164
 
1.0%
0.6952908587 161
 
1.0%
0.7119113573 160
 
0.9%
0.6842105263 154
 
0.9%
0.7063711911 153
 
0.9%
0.6620498615 152
 
0.9%
0.6814404432 151
 
0.9%
0.6897506925 146
 
0.9%
0.7146814404 144
 
0.9%
Other values (270) 10189
60.3%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 8
< 0.1%
0.08864265928 3
 
< 0.1%
0.09141274238 2
 
< 0.1%
0.1163434903 2
 
< 0.1%
0.1301939058 5
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9889196676 1
< 0.1%
0.9667590028 1
< 0.1%
0.9639889197 1
< 0.1%
0.9584487535 1
< 0.1%

long_passing_away_forward
Real number (ℝ)

Distinct221
Distinct (%)1.9%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4135690838
Minimum0
Maximum1
Zeros108
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:57.661996image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1551020408
Q10.2244897959
median0.4
Q30.5591836735
95-th percentile0.7959183673
Maximum1
Range1
Interquartile range (IQR)0.3346938776

Descriptive statistics

Standard deviation0.2107376961
Coefficient of variation (CV)0.5095586309
Kurtosis-0.7505730532
Mean0.4135690838
Median Absolute Deviation (MAD)0.1714285714
Skewness0.4774584548
Sum4859.436735
Variance0.04441037656
MonotonicityNot monotonic
2023-05-05T18:08:57.883984image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2081632653 217
 
1.3%
0.2408163265 188
 
1.1%
0.2367346939 182
 
1.1%
0.2285714286 179
 
1.1%
0.1959183673 176
 
1.0%
0.1836734694 172
 
1.0%
0.2244897959 168
 
1.0%
0.212244898 164
 
1.0%
0.2163265306 162
 
1.0%
0.2571428571 156
 
0.9%
Other values (211) 9986
59.1%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 108
0.6%
0.07346938776 1
 
< 0.1%
0.08571428571 4
 
< 0.1%
0.08979591837 3
 
< 0.1%
0.09387755102 1
 
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9836734694 3
< 0.1%
0.9795918367 3
< 0.1%
0.9755102041 3
< 0.1%
0.9714285714 7
< 0.1%

long_passing_away_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct83
Distinct (%)0.7%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4063706856
Minimum0
Maximum1
Zeros261
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:58.072990image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1333333333
Q10.2666666667
median0.3444444444
Q30.4444444444
95-th percentile0.8444444444
Maximum1
Range1
Interquartile range (IQR)0.1777777778

Descriptive statistics

Standard deviation0.2183464961
Coefficient of variation (CV)0.5373086785
Kurtosis-0.09208198892
Mean0.4063706856
Median Absolute Deviation (MAD)0.08888888889
Skewness0.8910150384
Sum4774.855556
Variance0.04767519234
MonotonicityNot monotonic
2023-05-05T18:08:58.328993image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3444444444 773
 
4.6%
0.2777777778 723
 
4.3%
0.2444444444 685
 
4.1%
0.3666666667 628
 
3.7%
0.3555555556 573
 
3.4%
0.2555555556 485
 
2.9%
0.3888888889 396
 
2.3%
0.3777777778 390
 
2.3%
0.4 388
 
2.3%
0.3111111111 362
 
2.1%
Other values (73) 6347
37.6%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 261
1.5%
0.07777777778 2
 
< 0.1%
0.1 17
 
0.1%
0.1111111111 50
 
0.3%
0.1222222222 176
1.0%
ValueCountFrequency (%)
1 22
0.1%
0.9777777778 4
 
< 0.1%
0.9666666667 4
 
< 0.1%
0.9555555556 8
 
< 0.1%
0.9444444444 39
0.2%
Distinct346
Distinct (%)2.9%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5924831906
Minimum0
Maximum0.9502164502
Zeros6
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:58.543993image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3939393939
Q10.4891774892
median0.5930735931
Q30.6991341991
95-th percentile0.8073593074
Maximum0.9502164502
Range0.9502164502
Interquartile range (IQR)0.20995671

Descriptive statistics

Standard deviation0.1360806392
Coefficient of variation (CV)0.2296784809
Kurtosis-0.224795621
Mean0.5924831906
Median Absolute Deviation (MAD)0.1038961039
Skewness-0.1700732363
Sum6961.677489
Variance0.01851794036
MonotonicityNot monotonic
2023-05-05T18:08:58.783991image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4783549784 90
 
0.5%
0.4935064935 85
 
0.5%
0.632034632 83
 
0.5%
0.4307359307 82
 
0.5%
0.6103896104 82
 
0.5%
0.5281385281 80
 
0.5%
0.512987013 79
 
0.5%
0.6558441558 77
 
0.5%
0.6428571429 77
 
0.5%
0.525974026 77
 
0.5%
Other values (336) 10938
64.7%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 6
< 0.1%
0.07792207792 1
 
< 0.1%
0.08874458874 1
 
< 0.1%
0.1038961039 3
< 0.1%
0.1082251082 3
< 0.1%
ValueCountFrequency (%)
0.9502164502 1
< 0.1%
0.9134199134 2
< 0.1%
0.9090909091 1
< 0.1%
0.9069264069 2
< 0.1%
0.9047619048 2
< 0.1%

long_passing_home_defense
Real number (ℝ)

Distinct280
Distinct (%)2.4%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.6408245863
Minimum0
Maximum1
Zeros11
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:59.031988image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4388888889
Q10.5833333333
median0.6611111111
Q30.7194444444
95-th percentile0.7833333333
Maximum1
Range1
Interquartile range (IQR)0.1361111111

Descriptive statistics

Standard deviation0.113838378
Coefficient of variation (CV)0.1776435868
Kurtosis2.730337214
Mean0.6408245863
Median Absolute Deviation (MAD)0.06666666667
Skewness-1.17516625
Sum7529.688889
Variance0.01295917632
MonotonicityNot monotonic
2023-05-05T18:08:59.253453image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6638888889 190
 
1.1%
0.6972222222 164
 
1.0%
0.6888888889 163
 
1.0%
0.7111111111 163
 
1.0%
0.7083333333 153
 
0.9%
0.6833333333 149
 
0.9%
0.7055555556 147
 
0.9%
0.6694444444 147
 
0.9%
0.725 143
 
0.8%
0.6861111111 142
 
0.8%
Other values (270) 10189
60.3%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 11
0.1%
0.08888888889 4
 
< 0.1%
0.09166666667 3
 
< 0.1%
0.1138888889 2
 
< 0.1%
0.1166666667 1
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9944444444 1
< 0.1%
0.9888888889 1
< 0.1%
0.9777777778 2
< 0.1%
0.975 1
< 0.1%

long_passing_home_forward
Real number (ℝ)

Distinct218
Distinct (%)1.9%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.418381928
Minimum0
Maximum0.9917695473
Zeros113
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:08:59.499375image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1522633745
Q10.2304526749
median0.4074074074
Q30.5555555556
95-th percentile0.7942386831
Maximum0.9917695473
Range0.9917695473
Interquartile range (IQR)0.3251028807

Descriptive statistics

Standard deviation0.2087853591
Coefficient of variation (CV)0.4990305391
Kurtosis-0.7356261438
Mean0.418381928
Median Absolute Deviation (MAD)0.1687242798
Skewness0.4425137707
Sum4915.987654
Variance0.04359132618
MonotonicityNot monotonic
2023-05-05T18:08:59.768288image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2386831276 195
 
1.2%
0.2427983539 183
 
1.1%
0.2098765432 176
 
1.0%
0.1975308642 170
 
1.0%
0.2263374486 168
 
1.0%
0.2139917695 160
 
0.9%
0.2304526749 153
 
0.9%
0.1851851852 151
 
0.9%
0.2181069959 145
 
0.9%
0.2592592593 143
 
0.8%
Other values (208) 10106
59.8%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 113
0.7%
0.08641975309 3
 
< 0.1%
0.09053497942 3
 
< 0.1%
0.09465020576 2
 
< 0.1%
0.0987654321 11
 
0.1%
ValueCountFrequency (%)
0.9917695473 2
< 0.1%
0.9794238683 4
< 0.1%
0.975308642 1
 
< 0.1%
0.9711934156 2
< 0.1%
0.962962963 1
 
< 0.1%

long_passing_home_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct83
Distinct (%)0.7%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4071177305
Minimum0
Maximum1
Zeros246
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:00.057197image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1333333333
Q10.2666666667
median0.3444444444
Q30.4444444444
95-th percentile0.8444444444
Maximum1
Range1
Interquartile range (IQR)0.1777777778

Descriptive statistics

Standard deviation0.2180541589
Coefficient of variation (CV)0.5356046729
Kurtosis-0.1044228288
Mean0.4071177305
Median Absolute Deviation (MAD)0.08888888889
Skewness0.8972756531
Sum4783.633333
Variance0.0475476162
MonotonicityNot monotonic
2023-05-05T18:09:00.289123image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3444444444 787
 
4.7%
0.2777777778 750
 
4.4%
0.2444444444 685
 
4.1%
0.3666666667 635
 
3.8%
0.3555555556 586
 
3.5%
0.2555555556 453
 
2.7%
0.3888888889 422
 
2.5%
0.2333333333 388
 
2.3%
0.3777777778 375
 
2.2%
0.4 375
 
2.2%
Other values (73) 6294
37.2%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 246
1.5%
0.07777777778 4
 
< 0.1%
0.1 11
 
0.1%
0.1111111111 49
 
0.3%
0.1222222222 173
1.0%
ValueCountFrequency (%)
1 21
0.1%
0.9777777778 4
 
< 0.1%
0.9666666667 2
 
< 0.1%
0.9555555556 3
 
< 0.1%
0.9444444444 39
0.2%
Distinct339
Distinct (%)2.9%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5583062263
Minimum0
Maximum1
Zeros12
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:00.492058image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3701431493
Q10.4601226994
median0.5582822086
Q30.6564417178
95-th percentile0.7577709611
Maximum1
Range1
Interquartile range (IQR)0.1963190184

Descriptive statistics

Standard deviation0.1276713677
Coefficient of variation (CV)0.2286762383
Kurtosis-0.1300166126
Mean0.5583062263
Median Absolute Deviation (MAD)0.0981595092
Skewness-0.1591638085
Sum6560.09816
Variance0.01629997812
MonotonicityNot monotonic
2023-05-05T18:09:00.753478image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4826175869 92
 
0.5%
0.5869120654 86
 
0.5%
0.5746421268 85
 
0.5%
0.6175869121 84
 
0.5%
0.4989775051 83
 
0.5%
0.5889570552 78
 
0.5%
0.5501022495 76
 
0.4%
0.4662576687 76
 
0.4%
0.445807771 76
 
0.4%
0.5787321063 75
 
0.4%
Other values (329) 10939
64.7%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 12
0.1%
0.0654396728 1
 
< 0.1%
0.08384458078 1
 
< 0.1%
0.0981595092 1
 
< 0.1%
0.1022494888 1
 
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9550102249 1
 
< 0.1%
0.8977505112 3
< 0.1%
0.8773006135 1
 
< 0.1%
0.8588957055 1
 
< 0.1%

ball_control_away_defense
Real number (ℝ)

Distinct279
Distinct (%)2.4%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.6577874647
Minimum0
Maximum1
Zeros8
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:00.992402image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4537940379
Q10.6124661247
median0.6802168022
Q30.72899729
95-th percentile0.7913279133
Maximum1
Range1
Interquartile range (IQR)0.1165311653

Descriptive statistics

Standard deviation0.1099162893
Coefficient of variation (CV)0.167100006
Kurtosis3.267625164
Mean0.6577874647
Median Absolute Deviation (MAD)0.05420054201
Skewness-1.343441845
Sum7729.00271
Variance0.01208159065
MonotonicityNot monotonic
2023-05-05T18:09:01.232326image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6991869919 199
 
1.2%
0.7154471545 192
 
1.1%
0.6937669377 179
 
1.1%
0.6666666667 177
 
1.0%
0.6883468835 177
 
1.0%
0.6802168022 175
 
1.0%
0.701897019 172
 
1.0%
0.7262872629 170
 
1.0%
0.7046070461 169
 
1.0%
0.7100271003 166
 
1.0%
Other values (269) 9974
59.0%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 8
< 0.1%
0.09485094851 1
 
< 0.1%
0.1138211382 2
 
< 0.1%
0.1219512195 1
 
< 0.1%
0.1300813008 1
 
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9972899729 1
 
< 0.1%
0.9593495935 3
< 0.1%
0.9539295393 1
 
< 0.1%
0.9430894309 1
 
< 0.1%

ball_control_away_forward
Real number (ℝ)

Distinct242
Distinct (%)2.1%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4718615523
Minimum0
Maximum1
Zeros108
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:01.480246image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2183098592
Q10.264084507
median0.4788732394
Q30.6056338028
95-th percentile0.8450704225
Maximum1
Range1
Interquartile range (IQR)0.3415492958

Descriptive statistics

Standard deviation0.2163599413
Coefficient of variation (CV)0.4585242011
Kurtosis-0.9399516837
Mean0.4718615523
Median Absolute Deviation (MAD)0.2112676056
Skewness0.3307427035
Sum5544.373239
Variance0.04681162421
MonotonicityNot monotonic
2023-05-05T18:09:01.660188image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2605633803 274
 
1.6%
0.264084507 264
 
1.6%
0.2676056338 256
 
1.5%
0.2535211268 241
 
1.4%
0.2570422535 211
 
1.2%
0.235915493 207
 
1.2%
0.2464788732 191
 
1.1%
0.2711267606 185
 
1.1%
0.2429577465 180
 
1.1%
0.2746478873 179
 
1.1%
Other values (232) 9562
56.6%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 108
0.6%
0.08802816901 4
 
< 0.1%
0.09154929577 1
 
< 0.1%
0.1021126761 4
 
< 0.1%
0.1056338028 3
 
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9964788732 1
 
< 0.1%
0.985915493 6
< 0.1%
0.9823943662 2
 
< 0.1%
0.9788732394 1
 
< 0.1%

ball_control_away_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct52
Distinct (%)0.4%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.3113835243
Minimum0
Maximum1
Zeros261
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:01.907110image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1666666667
Q10.2820512821
median0.3076923077
Q30.358974359
95-th percentile0.4487179487
Maximum1
Range1
Interquartile range (IQR)0.07692307692

Descriptive statistics

Standard deviation0.08816555684
Coefficient of variation (CV)0.2831413674
Kurtosis5.137476616
Mean0.3113835243
Median Absolute Deviation (MAD)0.03846153846
Skewness-0.1624458609
Sum3658.75641
Variance0.007773165413
MonotonicityNot monotonic
2023-05-05T18:09:02.124040image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2948717949 1556
 
9.2%
0.3205128205 1290
 
7.6%
0.2820512821 1132
 
6.7%
0.3076923077 960
 
5.7%
0.2692307692 913
 
5.4%
0.3333333333 610
 
3.6%
0.2564102564 560
 
3.3%
0.3974358974 511
 
3.0%
0.4102564103 457
 
2.7%
0.358974359 438
 
2.6%
Other values (42) 3323
19.7%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 261
1.5%
0.1282051282 27
 
0.2%
0.141025641 141
0.8%
0.1538461538 128
0.8%
0.1666666667 82
 
0.5%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9230769231 1
 
< 0.1%
0.8717948718 3
 
< 0.1%
0.8333333333 4
< 0.1%
0.8076923077 8
< 0.1%
Distinct355
Distinct (%)3.0%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5817895888
Minimum0
Maximum0.8893280632
Zeros6
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:02.360470image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3862648221
Q10.4723320158
median0.5849802372
Q30.6956521739
95-th percentile0.7885375494
Maximum0.8893280632
Range0.8893280632
Interquartile range (IQR)0.2233201581

Descriptive statistics

Standard deviation0.1353346074
Coefficient of variation (CV)0.2326177883
Kurtosis-0.4056103938
Mean0.5817895888
Median Absolute Deviation (MAD)0.1126482213
Skewness-0.1896558766
Sum6836.027668
Variance0.01831545596
MonotonicityNot monotonic
2023-05-05T18:09:02.592396image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5849802372 94
 
0.6%
0.6007905138 93
 
0.6%
0.5928853755 77
 
0.5%
0.5968379447 77
 
0.5%
0.4249011858 76
 
0.4%
0.6106719368 75
 
0.4%
0.7391304348 74
 
0.4%
0.6166007905 74
 
0.4%
0.5276679842 73
 
0.4%
0.5869565217 73
 
0.4%
Other values (345) 10964
64.9%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 6
< 0.1%
0.1027667984 1
 
< 0.1%
0.104743083 3
< 0.1%
0.1106719368 1
 
< 0.1%
0.1126482213 1
 
< 0.1%
ValueCountFrequency (%)
0.8893280632 1
< 0.1%
0.8873517787 1
< 0.1%
0.8814229249 1
< 0.1%
0.8735177866 1
< 0.1%
0.871541502 1
< 0.1%

ball_control_home_defense
Real number (ℝ)

Distinct274
Distinct (%)2.3%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.6704706712
Minimum0
Maximum1
Zeros11
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:02.836317image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4640883978
Q10.6243093923
median0.6933701657
Q30.7458563536
95-th percentile0.8038674033
Maximum1
Range1
Interquartile range (IQR)0.1215469613

Descriptive statistics

Standard deviation0.1119385702
Coefficient of variation (CV)0.1669552078
Kurtosis3.558586792
Mean0.6704706712
Median Absolute Deviation (MAD)0.05801104972
Skewness-1.417171461
Sum7878.030387
Variance0.0125302435
MonotonicityNot monotonic
2023-05-05T18:09:03.021259image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6906077348 186
 
1.1%
0.729281768 180
 
1.1%
0.7458563536 172
 
1.0%
0.6878453039 172
 
1.0%
0.7127071823 171
 
1.0%
0.7430939227 170
 
1.0%
0.7016574586 169
 
1.0%
0.6961325967 165
 
1.0%
0.7071823204 164
 
1.0%
0.7569060773 163
 
1.0%
Other values (264) 10038
59.4%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 11
0.1%
0.09668508287 1
 
< 0.1%
0.1160220994 3
 
< 0.1%
0.1243093923 1
 
< 0.1%
0.1270718232 3
 
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9834254144 2
< 0.1%
0.9668508287 2
< 0.1%
0.9613259669 1
 
< 0.1%
0.9585635359 3
< 0.1%

ball_control_home_forward
Real number (ℝ)

Distinct242
Distinct (%)2.1%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4763371292
Minimum0
Maximum1
Zeros113
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:03.211198image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2147887324
Q10.2676056338
median0.485915493
Q30.6047535211
95-th percentile0.8415492958
Maximum1
Range1
Interquartile range (IQR)0.3371478873

Descriptive statistics

Standard deviation0.2137021078
Coefficient of variation (CV)0.4486362593
Kurtosis-0.9100307452
Mean0.4763371292
Median Absolute Deviation (MAD)0.2112676056
Skewness0.2844428257
Sum5596.961268
Variance0.04566859088
MonotonicityNot monotonic
2023-05-05T18:09:03.406136image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.264084507 270
 
1.6%
0.2676056338 255
 
1.5%
0.2605633803 229
 
1.4%
0.2535211268 224
 
1.3%
0.2570422535 200
 
1.2%
0.2711267606 196
 
1.2%
0.25 176
 
1.0%
0.2429577465 175
 
1.0%
0.2746478873 174
 
1.0%
0.235915493 171
 
1.0%
Other values (232) 9680
57.3%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 113
0.7%
0.08802816901 3
 
< 0.1%
0.09154929577 1
 
< 0.1%
0.1021126761 1
 
< 0.1%
0.1197183099 1
 
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9964788732 3
< 0.1%
0.985915493 4
< 0.1%
0.9823943662 5
< 0.1%
0.9753521127 2
 
< 0.1%

ball_control_home_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct48
Distinct (%)0.4%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.3425064429
Minimum0
Maximum1
Zeros246
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:03.662055image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1830985915
Q10.3098591549
median0.338028169
Q30.3943661972
95-th percentile0.4929577465
Maximum1
Range1
Interquartile range (IQR)0.08450704225

Descriptive statistics

Standard deviation0.09598370888
Coefficient of variation (CV)0.2802391338
Kurtosis5.001930295
Mean0.3425064429
Median Absolute Deviation (MAD)0.04225352113
Skewness-0.152874041
Sum4024.450704
Variance0.009212872371
MonotonicityNot monotonic
2023-05-05T18:09:03.899484image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0.323943662 1554
 
9.2%
0.3521126761 1310
 
7.8%
0.3098591549 1184
 
7.0%
0.338028169 977
 
5.8%
0.2957746479 863
 
5.1%
0.3661971831 595
 
3.5%
0.2816901408 532
 
3.1%
0.4366197183 499
 
3.0%
0.4507042254 464
 
2.7%
0.3943661972 460
 
2.7%
Other values (38) 3312
19.6%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 246
1.5%
0.1408450704 25
 
0.1%
0.1549295775 149
0.9%
0.1690140845 113
0.7%
0.1830985915 91
 
0.5%
ValueCountFrequency (%)
1 2
 
< 0.1%
0.9577464789 1
 
< 0.1%
0.9154929577 6
< 0.1%
0.8873239437 9
0.1%
0.8732394366 5
< 0.1%
Distinct353
Distinct (%)3.0%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5786845368
Minimum0
Maximum1
Zeros12
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:04.107418image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3858267717
Q10.468503937
median0.5826771654
Q30.688976378
95-th percentile0.7854330709
Maximum1
Range1
Interquartile range (IQR)0.2204724409

Descriptive statistics

Standard deviation0.1346279841
Coefficient of variation (CV)0.2326448618
Kurtosis-0.3111717511
Mean0.5786845368
Median Absolute Deviation (MAD)0.1102362205
Skewness-0.1816869746
Sum6799.543307
Variance0.01812469411
MonotonicityNot monotonic
2023-05-05T18:09:04.331347image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6082677165 87
 
0.5%
0.5846456693 86
 
0.5%
0.594488189 82
 
0.5%
0.6023622047 81
 
0.5%
0.5984251969 80
 
0.5%
0.5866141732 78
 
0.5%
0.5767716535 78
 
0.5%
0.6141732283 77
 
0.5%
0.4232283465 77
 
0.5%
0.4251968504 76
 
0.4%
Other values (343) 10948
64.8%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 12
0.1%
0.09842519685 1
 
< 0.1%
0.1023622047 2
 
< 0.1%
0.1043307087 1
 
< 0.1%
0.1102362205 2
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9862204724 1
< 0.1%
0.8877952756 1
< 0.1%
0.8838582677 1
< 0.1%
0.874015748 1
< 0.1%

acceleration_away_defense
Real number (ℝ)

Distinct278
Distinct (%)2.4%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.6585608489
Minimum0
Maximum1
Zeros8
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:04.536281image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4550128535
Q10.6143958869
median0.6786632391
Q30.7275064267
95-th percentile0.7866323907
Maximum1
Range1
Interquartile range (IQR)0.1131105398

Descriptive statistics

Standard deviation0.1062606379
Coefficient of variation (CV)0.1613528015
Kurtosis3.513757881
Mean0.6585608489
Median Absolute Deviation (MAD)0.05398457584
Skewness-1.413269381
Sum7738.089974
Variance0.01129132318
MonotonicityNot monotonic
2023-05-05T18:09:04.747214image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7197943445 183
 
1.1%
0.7017994859 180
 
1.1%
0.6992287918 179
 
1.1%
0.6812339332 171
 
1.0%
0.706940874 170
 
1.0%
0.6940874036 170
 
1.0%
0.6889460154 166
 
1.0%
0.6915167095 165
 
1.0%
0.6786632391 163
 
1.0%
0.6863753213 160
 
0.9%
Other values (268) 10043
59.4%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 8
< 0.1%
0.1336760925 2
 
< 0.1%
0.1388174807 2
 
< 0.1%
0.1439588689 1
 
< 0.1%
0.146529563 2
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9794344473 2
< 0.1%
0.9640102828 1
< 0.1%
0.9588688946 2
< 0.1%
0.9485861183 1
< 0.1%

acceleration_away_forward
Real number (ℝ)

Distinct239
Distinct (%)2.0%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4966033981
Minimum0
Maximum1
Zeros108
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:04.970143image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2194244604
Q10.2769784173
median0.5107913669
Q30.6258992806
95-th percentile0.8848920863
Maximum1
Range1
Interquartile range (IQR)0.3489208633

Descriptive statistics

Standard deviation0.2301600664
Coefficient of variation (CV)0.4634685692
Kurtosis-1.018893966
Mean0.4966033981
Median Absolute Deviation (MAD)0.226618705
Skewness0.2996295941
Sum5835.089928
Variance0.05297365616
MonotonicityNot monotonic
2023-05-05T18:09:05.168106image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2769784173 256
 
1.5%
0.2661870504 233
 
1.4%
0.2805755396 214
 
1.3%
0.2949640288 198
 
1.2%
0.273381295 191
 
1.1%
0.2841726619 189
 
1.1%
0.2482014388 183
 
1.1%
0.2589928058 182
 
1.1%
0.2625899281 178
 
1.1%
0.2697841727 174
 
1.0%
Other values (229) 9752
57.7%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 108
0.6%
0.09352517986 2
 
< 0.1%
0.1079136691 1
 
< 0.1%
0.118705036 1
 
< 0.1%
0.1223021583 2
 
< 0.1%
ValueCountFrequency (%)
1 6
< 0.1%
0.9928057554 2
 
< 0.1%
0.9892086331 4
 
< 0.1%
0.9856115108 10
0.1%
0.9820143885 9
0.1%

acceleration_away_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct61
Distinct (%)0.5%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5323316214
Minimum0
Maximum1
Zeros261
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:05.388082image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2988505747
Q10.4482758621
median0.5517241379
Q30.632183908
95-th percentile0.7471264368
Maximum1
Range1
Interquartile range (IQR)0.183908046

Descriptive statistics

Standard deviation0.1479963941
Coefficient of variation (CV)0.2780154101
Kurtosis2.054778992
Mean0.5323316214
Median Absolute Deviation (MAD)0.09195402299
Skewness-0.9438875922
Sum6254.896552
Variance0.02190293265
MonotonicityNot monotonic
2023-05-05T18:09:05.573083image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5747126437 841
 
5.0%
0.632183908 515
 
3.0%
0.5287356322 481
 
2.8%
0.5862068966 474
 
2.8%
0.5172413793 416
 
2.5%
0.4712643678 413
 
2.4%
0.6551724138 389
 
2.3%
0.5977011494 364
 
2.2%
0.5402298851 340
 
2.0%
0.6896551724 339
 
2.0%
Other values (51) 7178
42.5%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 261
1.5%
0.1494252874 1
 
< 0.1%
0.1609195402 6
 
< 0.1%
0.2298850575 14
 
0.1%
0.2413793103 58
 
0.3%
ValueCountFrequency (%)
1 3
 
< 0.1%
0.908045977 8
 
< 0.1%
0.8735632184 15
0.1%
0.8505747126 31
0.2%
0.8390804598 6
 
< 0.1%
Distinct336
Distinct (%)2.9%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5945946983
Minimum0
Maximum1
Zeros6
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:05.755074image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.381147541
Q10.4651639344
median0.6004098361
Q30.7192622951
95-th percentile0.7950819672
Maximum1
Range1
Interquartile range (IQR)0.2540983607

Descriptive statistics

Standard deviation0.1401750125
Coefficient of variation (CV)0.2357488436
Kurtosis-0.5874553261
Mean0.5945946983
Median Absolute Deviation (MAD)0.125
Skewness-0.3121905776
Sum6986.487705
Variance0.01964903413
MonotonicityNot monotonic
2023-05-05T18:09:05.944076image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5942622951 109
 
0.6%
0.5819672131 101
 
0.6%
0.5799180328 95
 
0.6%
0.5860655738 92
 
0.5%
0.5881147541 92
 
0.5%
0.5922131148 91
 
0.5%
0.6004098361 89
 
0.5%
0.5840163934 89
 
0.5%
0.612704918 88
 
0.5%
0.606557377 88
 
0.5%
Other values (326) 10816
64.0%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 6
< 0.1%
0.1086065574 2
 
< 0.1%
0.1106557377 4
< 0.1%
0.1270491803 1
 
< 0.1%
0.1290983607 4
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9897540984 1
< 0.1%
0.8954918033 1
< 0.1%
0.875 1
< 0.1%
0.8709016393 2
< 0.1%

acceleration_home_defense
Real number (ℝ)

Distinct283
Distinct (%)2.4%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.6618338556
Minimum0
Maximum1
Zeros11
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:06.147098image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4599483204
Q10.6175710594
median0.684754522
Q30.7312661499
95-th percentile0.7906976744
Maximum1
Range1
Interquartile range (IQR)0.1136950904

Descriptive statistics

Standard deviation0.1070470151
Coefficient of variation (CV)0.1617430329
Kurtosis3.964205026
Mean0.6618338556
Median Absolute Deviation (MAD)0.05426356589
Skewness-1.496428489
Sum7776.547804
Variance0.01145906344
MonotonicityNot monotonic
2023-05-05T18:09:06.361085image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6950904393 190
 
1.1%
0.6976744186 190
 
1.1%
0.7235142119 189
 
1.1%
0.677002584 176
 
1.0%
0.7286821705 174
 
1.0%
0.7260981912 170
 
1.0%
0.7054263566 168
 
1.0%
0.7105943152 166
 
1.0%
0.7028423773 164
 
1.0%
0.6640826873 158
 
0.9%
Other values (273) 10005
59.2%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 11
0.1%
0.09819121447 1
 
< 0.1%
0.1111111111 1
 
< 0.1%
0.1395348837 2
 
< 0.1%
0.142118863 1
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9793281654 1
< 0.1%
0.9741602067 1
< 0.1%
0.9689922481 2
< 0.1%
0.9638242894 1
< 0.1%

acceleration_home_forward
Real number (ℝ)

Distinct238
Distinct (%)2.0%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5004295117
Minimum0
Maximum1
Zeros113
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:06.551102image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2194244604
Q10.2769784173
median0.5143884892
Q30.6258992806
95-th percentile0.8848920863
Maximum1
Range1
Interquartile range (IQR)0.3489208633

Descriptive statistics

Standard deviation0.2275516846
Coefficient of variation (CV)0.4547127602
Kurtosis-0.9753579816
Mean0.5004295117
Median Absolute Deviation (MAD)0.226618705
Skewness0.2615773626
Sum5880.046763
Variance0.05177976914
MonotonicityNot monotonic
2023-05-05T18:09:06.729086image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2805755396 227
 
1.3%
0.2661870504 223
 
1.3%
0.2769784173 223
 
1.3%
0.273381295 186
 
1.1%
0.2949640288 174
 
1.0%
0.2841726619 168
 
1.0%
0.2482014388 166
 
1.0%
0.2589928058 163
 
1.0%
0.2625899281 161
 
1.0%
0.2697841727 156
 
0.9%
Other values (228) 9903
58.6%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 113
0.7%
0.07913669065 1
 
< 0.1%
0.09352517986 3
 
< 0.1%
0.118705036 1
 
< 0.1%
0.1223021583 4
 
< 0.1%
ValueCountFrequency (%)
1 7
< 0.1%
0.9928057554 1
 
< 0.1%
0.9892086331 4
< 0.1%
0.9856115108 9
0.1%
0.9820143885 3
 
< 0.1%

acceleration_home_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct60
Distinct (%)0.5%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5338870139
Minimum0
Maximum1
Zeros246
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:06.907135image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2988505747
Q10.4482758621
median0.5517241379
Q30.632183908
95-th percentile0.7471264368
Maximum1
Range1
Interquartile range (IQR)0.183908046

Descriptive statistics

Standard deviation0.147207652
Coefficient of variation (CV)0.2757281001
Kurtosis2.015391613
Mean0.5338870139
Median Absolute Deviation (MAD)0.08045977011
Skewness-0.9288399386
Sum6273.172414
Variance0.02167009281
MonotonicityNot monotonic
2023-05-05T18:09:07.127124image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5747126437 828
 
4.9%
0.5287356322 516
 
3.1%
0.632183908 506
 
3.0%
0.5862068966 482
 
2.9%
0.4712643678 422
 
2.5%
0.5172413793 411
 
2.4%
0.5977011494 382
 
2.3%
0.5402298851 357
 
2.1%
0.6551724138 341
 
2.0%
0.6206896552 336
 
2.0%
Other values (50) 7169
42.4%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 246
1.5%
0.1609195402 9
 
0.1%
0.2298850575 14
 
0.1%
0.2413793103 67
 
0.4%
0.2528735632 102
0.6%
ValueCountFrequency (%)
1 2
 
< 0.1%
0.908045977 6
 
< 0.1%
0.8735632184 18
0.1%
0.8505747126 23
0.1%
0.8390804598 7
 
< 0.1%
Distinct334
Distinct (%)2.8%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5946519009
Minimum0
Maximum1
Zeros12
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:07.336132image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3852459016
Q10.4672131148
median0.6004098361
Q30.7192622951
95-th percentile0.7971311475
Maximum1
Range1
Interquartile range (IQR)0.2520491803

Descriptive statistics

Standard deviation0.1396074434
Coefficient of variation (CV)0.2347717096
Kurtosis-0.4676894359
Mean0.5946519009
Median Absolute Deviation (MAD)0.1229508197
Skewness-0.3058923622
Sum6987.159836
Variance0.01949023825
MonotonicityNot monotonic
2023-05-05T18:09:07.512112image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6004098361 108
 
0.6%
0.5840163934 99
 
0.6%
0.6086065574 97
 
0.6%
0.5778688525 94
 
0.6%
0.5922131148 94
 
0.6%
0.606557377 93
 
0.6%
0.5983606557 92
 
0.5%
0.5942622951 92
 
0.5%
0.5860655738 91
 
0.5%
0.5819672131 90
 
0.5%
Other values (324) 10800
63.9%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 12
0.1%
0.106557377 1
 
< 0.1%
0.1086065574 3
 
< 0.1%
0.1106557377 1
 
< 0.1%
0.1147540984 4
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9303278689 1
< 0.1%
0.9200819672 1
< 0.1%
0.881147541 1
< 0.1%
0.8790983607 1
< 0.1%

sprint_speed_away_defense
Real number (ℝ)

Distinct288
Distinct (%)2.5%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.6676751665
Minimum0
Maximum1
Zeros8
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:07.691100image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4631043257
Q10.6259541985
median0.68956743
Q30.737913486
95-th percentile0.796437659
Maximum1
Range1
Interquartile range (IQR)0.1119592875

Descriptive statistics

Standard deviation0.1078431561
Coefficient of variation (CV)0.1615203942
Kurtosis3.52282037
Mean0.6676751665
Median Absolute Deviation (MAD)0.0534351145
Skewness-1.443311379
Sum7845.183206
Variance0.01163014632
MonotonicityNot monotonic
2023-05-05T18:09:07.866085image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6972010178 174
 
1.0%
0.7124681934 171
 
1.0%
0.7048346056 170
 
1.0%
0.7201017812 169
 
1.0%
0.6997455471 165
 
1.0%
0.7073791349 163
 
1.0%
0.7226463104 163
 
1.0%
0.7531806616 162
 
1.0%
0.6921119593 158
 
0.9%
0.6870229008 157
 
0.9%
Other values (278) 10098
59.8%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 8
< 0.1%
0.1043256997 1
 
< 0.1%
0.1170483461 1
 
< 0.1%
0.1323155216 1
 
< 0.1%
0.1399491094 1
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9923664122 1
< 0.1%
0.989821883 1
< 0.1%
0.9796437659 1
< 0.1%
0.9669211196 1
< 0.1%

sprint_speed_away_forward
Real number (ℝ)

Distinct234
Distinct (%)2.0%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4937345347
Minimum0
Maximum1
Zeros108
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:08.050086image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2241992883
Q10.2740213523
median0.512455516
Q30.6120996441
95-th percentile0.8647686833
Maximum1
Range1
Interquartile range (IQR)0.3380782918

Descriptive statistics

Standard deviation0.2247337738
Coefficient of variation (CV)0.4551712672
Kurtosis-1.041197643
Mean0.4937345347
Median Absolute Deviation (MAD)0.231316726
Skewness0.2749840676
Sum5801.380783
Variance0.0505052691
MonotonicityNot monotonic
2023-05-05T18:09:08.267091image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2775800712 308
 
1.8%
0.2704626335 258
 
1.5%
0.2740213523 246
 
1.5%
0.2419928826 235
 
1.4%
0.2633451957 215
 
1.3%
0.2669039146 215
 
1.3%
0.2455516014 211
 
1.2%
0.28113879 202
 
1.2%
0.256227758 193
 
1.1%
0.2989323843 190
 
1.1%
Other values (224) 9477
56.1%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 108
0.6%
0.103202847 1
 
< 0.1%
0.1067615658 1
 
< 0.1%
0.1209964413 3
 
< 0.1%
0.128113879 1
 
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9786476868 4
< 0.1%
0.975088968 2
 
< 0.1%
0.9715302491 6
< 0.1%
0.9679715302 8
< 0.1%

sprint_speed_away_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct60
Distinct (%)0.5%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5893046054
Minimum0
Maximum0.9746835443
Zeros261
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:08.458096image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3164556962
Q10.5063291139
median0.6075949367
Q30.6962025316
95-th percentile0.7974683544
Maximum0.9746835443
Range0.9746835443
Interquartile range (IQR)0.1898734177

Descriptive statistics

Standard deviation0.1584250433
Coefficient of variation (CV)0.2688338796
Kurtosis2.56225297
Mean0.5893046054
Median Absolute Deviation (MAD)0.08860759494
Skewness-1.172350884
Sum6924.329114
Variance0.02509849435
MonotonicityNot monotonic
2023-05-05T18:09:08.645109image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6582278481 774
 
4.6%
0.6835443038 516
 
3.1%
0.6075949367 494
 
2.9%
0.6455696203 468
 
2.8%
0.6962025316 443
 
2.6%
0.4303797468 434
 
2.6%
0.582278481 418
 
2.5%
0.7341772152 405
 
2.4%
0.5316455696 401
 
2.4%
0.6329113924 386
 
2.3%
Other values (50) 7011
41.5%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 261
1.5%
0.1518987342 1
 
< 0.1%
0.164556962 7
 
< 0.1%
0.2405063291 6
 
< 0.1%
0.253164557 8
 
< 0.1%
ValueCountFrequency (%)
0.9746835443 12
0.1%
0.9620253165 2
 
< 0.1%
0.9493670886 2
 
< 0.1%
0.9367088608 5
 
< 0.1%
0.9113924051 13
0.1%
Distinct326
Distinct (%)2.8%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.6012656257
Minimum0
Maximum1
Zeros6
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:08.866112image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3866943867
Q10.4719334719
median0.6112266112
Q30.7276507277
95-th percentile0.8004158004
Maximum1
Range1
Interquartile range (IQR)0.2557172557

Descriptive statistics

Standard deviation0.1409462086
Coefficient of variation (CV)0.2344158764
Kurtosis-0.5890148029
Mean0.6012656257
Median Absolute Deviation (MAD)0.1247401247
Skewness-0.3333811441
Sum7064.871102
Variance0.01986583372
MonotonicityNot monotonic
2023-05-05T18:09:09.062103image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6133056133 106
 
0.6%
0.6070686071 100
 
0.6%
0.7505197505 97
 
0.6%
0.7588357588 96
 
0.6%
0.5987525988 96
 
0.6%
0.762993763 94
 
0.6%
0.6091476091 92
 
0.5%
0.6112266112 89
 
0.5%
0.6174636175 89
 
0.5%
0.6008316008 89
 
0.5%
Other values (316) 10802
63.9%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 6
< 0.1%
0.1185031185 1
 
< 0.1%
0.1247401247 1
 
< 0.1%
0.1288981289 3
< 0.1%
0.130977131 5
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9854469854 1
< 0.1%
0.8898128898 2
< 0.1%
0.8773388773 1
< 0.1%
0.8711018711 1
< 0.1%

sprint_speed_home_defense
Real number (ℝ)

Distinct290
Distinct (%)2.5%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.6590426601
Minimum0
Maximum1
Zeros11
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:09.244136image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4572864322
Q10.6180904523
median0.6809045226
Q30.7286432161
95-th percentile0.783919598
Maximum1
Range1
Interquartile range (IQR)0.1105527638

Descriptive statistics

Standard deviation0.1064471493
Coefficient of variation (CV)0.1615178436
Kurtosis3.912379862
Mean0.6590426601
Median Absolute Deviation (MAD)0.0527638191
Skewness-1.494388913
Sum7743.751256
Variance0.0113309956
MonotonicityNot monotonic
2023-05-05T18:09:09.431131image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7060301508 179
 
1.1%
0.6984924623 176
 
1.0%
0.7010050251 175
 
1.0%
0.6834170854 172
 
1.0%
0.7110552764 170
 
1.0%
0.6909547739 169
 
1.0%
0.6959798995 167
 
1.0%
0.7135678392 166
 
1.0%
0.6859296482 164
 
1.0%
0.6884422111 158
 
0.9%
Other values (280) 10054
59.5%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 11
0.1%
0.1130653266 1
 
< 0.1%
0.1306532663 1
 
< 0.1%
0.1432160804 1
 
< 0.1%
0.1457286432 1
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9874371859 1
< 0.1%
0.9773869347 1
< 0.1%
0.9748743719 1
< 0.1%
0.9472361809 1
< 0.1%

sprint_speed_home_forward
Real number (ℝ)

Distinct237
Distinct (%)2.0%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5046836163
Minimum0
Maximum1
Zeros113
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:09.630112image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2274368231
Q10.2815884477
median0.523465704
Q30.6209386282
95-th percentile0.8772563177
Maximum1
Range1
Interquartile range (IQR)0.3393501805

Descriptive statistics

Standard deviation0.2254681077
Coefficient of variation (CV)0.4467513913
Kurtosis-0.9989394996
Mean0.5046836163
Median Absolute Deviation (MAD)0.2310469314
Skewness0.2379390506
Sum5930.032491
Variance0.0508358676
MonotonicityNot monotonic
2023-05-05T18:09:09.870157image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2815884477 274
 
1.6%
0.274368231 245
 
1.4%
0.2779783394 239
 
1.4%
0.2707581227 235
 
1.4%
0.2454873646 221
 
1.3%
0.2490974729 207
 
1.2%
0.2671480144 195
 
1.2%
0.285198556 172
 
1.0%
0.3032490975 168
 
1.0%
0.2635379061 165
 
1.0%
Other values (227) 9629
57.0%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 113
0.7%
0.07942238267 1
 
< 0.1%
0.1083032491 3
 
< 0.1%
0.1227436823 2
 
< 0.1%
0.1299638989 1
 
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9927797834 4
< 0.1%
0.9891696751 2
 
< 0.1%
0.9855595668 5
< 0.1%
0.9819494585 7
< 0.1%

sprint_speed_home_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct60
Distinct (%)0.5%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5915895502
Minimum0
Maximum1
Zeros246
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:10.060122image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3164556962
Q10.5063291139
median0.6202531646
Q30.6962025316
95-th percentile0.7974683544
Maximum1
Range1
Interquartile range (IQR)0.1898734177

Descriptive statistics

Standard deviation0.1577108131
Coefficient of variation (CV)0.2665882334
Kurtosis2.511915294
Mean0.5915895502
Median Absolute Deviation (MAD)0.08860759494
Skewness-1.144962918
Sum6951.177215
Variance0.02487270058
MonotonicityNot monotonic
2023-05-05T18:09:10.240185image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6582278481 803
 
4.8%
0.6835443038 502
 
3.0%
0.6455696203 487
 
2.9%
0.6075949367 472
 
2.8%
0.6962025316 442
 
2.6%
0.4303797468 406
 
2.4%
0.5316455696 406
 
2.4%
0.6329113924 398
 
2.4%
0.582278481 385
 
2.3%
0.7088607595 378
 
2.2%
Other values (50) 7071
41.8%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 246
1.5%
0.164556962 4
 
< 0.1%
0.2405063291 12
 
0.1%
0.253164557 6
 
< 0.1%
0.2658227848 161
1.0%
ValueCountFrequency (%)
1 5
< 0.1%
0.9746835443 9
0.1%
0.9620253165 1
 
< 0.1%
0.9493670886 3
 
< 0.1%
0.9367088608 7
< 0.1%
Distinct330
Distinct (%)2.8%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.6009851816
Minimum0
Maximum1
Zeros12
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:10.434122image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3908523909
Q10.4698544699
median0.6112266112
Q30.7255717256
95-th percentile0.7983367983
Maximum1
Range1
Interquartile range (IQR)0.2557172557

Descriptive statistics

Standard deviation0.1401351214
Coefficient of variation (CV)0.2331756683
Kurtosis-0.4759442023
Mean0.6009851816
Median Absolute Deviation (MAD)0.1247401247
Skewness-0.3362475298
Sum7061.575884
Variance0.01963785224
MonotonicityNot monotonic
2023-05-05T18:09:10.609128image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6174636175 107
 
0.6%
0.5966735967 100
 
0.6%
0.6091476091 97
 
0.6%
0.604989605 96
 
0.6%
0.6278586279 96
 
0.6%
0.6133056133 92
 
0.5%
0.5945945946 92
 
0.5%
0.6008316008 90
 
0.5%
0.6195426195 90
 
0.5%
0.4532224532 90
 
0.5%
Other values (320) 10800
63.9%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 12
0.1%
0.103950104 1
 
< 0.1%
0.1185031185 3
 
< 0.1%
0.1226611227 1
 
< 0.1%
0.1247401247 2
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9189189189 1
< 0.1%
0.9106029106 1
< 0.1%
0.896049896 1
< 0.1%
0.893970894 1
< 0.1%

agility_away_defense
Real number (ℝ)

Distinct266
Distinct (%)2.3%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.6554192603
Minimum0
Maximum1
Zeros8
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:10.788138image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4545454545
Q10.6143250689
median0.6776859504
Q30.7245179063
95-th percentile0.782369146
Maximum1
Range1
Interquartile range (IQR)0.1101928375

Descriptive statistics

Standard deviation0.1058429295
Coefficient of variation (CV)0.161488891
Kurtosis3.317139783
Mean0.6554192603
Median Absolute Deviation (MAD)0.0523415978
Skewness-1.360235237
Sum7701.176309
Variance0.01120272572
MonotonicityNot monotonic
2023-05-05T18:09:10.969123image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6914600551 207
 
1.2%
0.7272727273 193
 
1.1%
0.6887052342 189
 
1.1%
0.7024793388 188
 
1.1%
0.6997245179 186
 
1.1%
0.6694214876 185
 
1.1%
0.6831955923 181
 
1.1%
0.696969697 181
 
1.1%
0.6611570248 179
 
1.1%
0.7052341598 179
 
1.1%
Other values (256) 9882
58.5%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 8
< 0.1%
0.1349862259 1
 
< 0.1%
0.1460055096 6
< 0.1%
0.1487603306 1
 
< 0.1%
0.1515151515 2
 
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9779614325 3
< 0.1%
0.9752066116 2
< 0.1%
0.955922865 1
 
< 0.1%
0.9449035813 1
 
< 0.1%

agility_away_forward
Real number (ℝ)

Distinct243
Distinct (%)2.1%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.486650058
Minimum0
Maximum1
Zeros108
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:11.169119image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2109090909
Q10.2690909091
median0.4981818182
Q30.6109090909
95-th percentile0.8727272727
Maximum1
Range1
Interquartile range (IQR)0.3418181818

Descriptive statistics

Standard deviation0.2289524071
Coefficient of variation (CV)0.4704662073
Kurtosis-0.9994139233
Mean0.486650058
Median Absolute Deviation (MAD)0.2254545455
Skewness0.318575286
Sum5718.138182
Variance0.0524192047
MonotonicityNot monotonic
2023-05-05T18:09:11.360128image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2690909091 269
 
1.6%
0.2618181818 246
 
1.5%
0.2763636364 198
 
1.2%
0.2727272727 192
 
1.1%
0.2654545455 190
 
1.1%
0.2327272727 173
 
1.0%
0.2472727273 165
 
1.0%
0.24 164
 
1.0%
0.2509090909 158
 
0.9%
0.2945454545 156
 
0.9%
Other values (233) 9839
58.2%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 108
0.6%
0.1127272727 3
 
< 0.1%
0.1163636364 1
 
< 0.1%
0.1236363636 3
 
< 0.1%
0.1272727273 2
 
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9963636364 1
 
< 0.1%
0.9927272727 2
 
< 0.1%
0.9890909091 6
< 0.1%
0.9854545455 6
< 0.1%

agility_away_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct60
Distinct (%)0.5%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5854245187
Minimum0
Maximum1
Zeros261
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:11.569131image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.369047619
Q10.4880952381
median0.5952380952
Q30.6904761905
95-th percentile0.8095238095
Maximum1
Range1
Interquartile range (IQR)0.2023809524

Descriptive statistics

Standard deviation0.1610814981
Coefficient of variation (CV)0.2751533168
Kurtosis2.060299798
Mean0.5854245187
Median Absolute Deviation (MAD)0.1071428571
Skewness-0.9410901576
Sum6878.738095
Variance0.02594724903
MonotonicityNot monotonic
2023-05-05T18:09:11.775141image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5714285714 630
 
3.7%
0.6428571429 540
 
3.2%
0.619047619 499
 
3.0%
0.6547619048 423
 
2.5%
0.5952380952 398
 
2.4%
0.6785714286 371
 
2.2%
0.5833333333 367
 
2.2%
0.6904761905 346
 
2.0%
0.5357142857 339
 
2.0%
0.7619047619 329
 
1.9%
Other values (50) 7508
44.4%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 261
1.5%
0.25 24
 
0.1%
0.2738095238 30
 
0.2%
0.2857142857 17
 
0.1%
0.2976190476 21
 
0.1%
ValueCountFrequency (%)
1 8
 
< 0.1%
0.9642857143 1
 
< 0.1%
0.9285714286 22
0.1%
0.9166666667 15
0.1%
0.9047619048 2
 
< 0.1%

agility_away_midfielder
Real number (ℝ)

Distinct331
Distinct (%)2.8%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.6060679421
Minimum0
Maximum1
Zeros6
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:11.958123image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3991596639
Q10.481092437
median0.6092436975
Q30.731092437
95-th percentile0.8088235294
Maximum1
Range1
Interquartile range (IQR)0.25

Descriptive statistics

Standard deviation0.1406054887
Coefficient of variation (CV)0.2319962481
Kurtosis-0.5174095251
Mean0.6060679421
Median Absolute Deviation (MAD)0.1239495798
Skewness-0.2821904795
Sum7121.298319
Variance0.01976990344
MonotonicityNot monotonic
2023-05-05T18:09:12.134137image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6134453782 109
 
0.6%
0.6092436975 103
 
0.6%
0.6008403361 100
 
0.6%
0.6050420168 97
 
0.6%
0.5840336134 92
 
0.5%
0.5966386555 91
 
0.5%
0.4411764706 91
 
0.5%
0.6071428571 90
 
0.5%
0.5987394958 87
 
0.5%
0.6176470588 85
 
0.5%
Other values (321) 10805
63.9%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 6
< 0.1%
0.1134453782 1
 
< 0.1%
0.1176470588 1
 
< 0.1%
0.1239495798 1
 
< 0.1%
0.1260504202 1
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9915966387 1
< 0.1%
0.9075630252 1
< 0.1%
0.8970588235 2
< 0.1%
0.8928571429 1
< 0.1%

agility_home_defense
Real number (ℝ)

Distinct275
Distinct (%)2.3%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.6660840336
Minimum0
Maximum1
Zeros11
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:12.318127image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4621848739
Q10.6246498599
median0.6862745098
Q30.7366946779
95-th percentile0.7927170868
Maximum1
Range1
Interquartile range (IQR)0.1120448179

Descriptive statistics

Standard deviation0.1075096676
Coefficient of variation (CV)0.1614055617
Kurtosis3.734497387
Mean0.6660840336
Median Absolute Deviation (MAD)0.05322128852
Skewness-1.440117417
Sum7826.487395
Variance0.01155832863
MonotonicityNot monotonic
2023-05-05T18:09:12.508142image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7226890756 211
 
1.2%
0.7030812325 206
 
1.2%
0.7142857143 198
 
1.2%
0.7282913165 194
 
1.1%
0.7394957983 193
 
1.1%
0.6834733894 187
 
1.1%
0.700280112 185
 
1.1%
0.6806722689 185
 
1.1%
0.7114845938 178
 
1.1%
0.7170868347 175
 
1.0%
Other values (265) 9838
58.2%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 11
0.1%
0.08403361345 1
 
< 0.1%
0.1176470588 1
 
< 0.1%
0.1232492997 1
 
< 0.1%
0.1316526611 1
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9859943978 1
< 0.1%
0.9775910364 2
< 0.1%
0.974789916 1
< 0.1%
0.9719887955 1
< 0.1%

agility_home_forward
Real number (ℝ)

Distinct244
Distinct (%)2.1%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4851725088
Minimum0
Maximum1
Zeros113
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:12.701129image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2086330935
Q10.2697841727
median0.4964028777
Q30.6007194245
95-th percentile0.8633093525
Maximum1
Range1
Interquartile range (IQR)0.3309352518

Descriptive statistics

Standard deviation0.2237821826
Coefficient of variation (CV)0.4612425034
Kurtosis-0.9535970269
Mean0.4851725088
Median Absolute Deviation (MAD)0.2194244604
Skewness0.2796878943
Sum5700.776978
Variance0.05007846523
MonotonicityNot monotonic
2023-05-05T18:09:12.884146image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2661870504 255
 
1.5%
0.2697841727 209
 
1.2%
0.2589928058 203
 
1.2%
0.273381295 190
 
1.1%
0.2302158273 166
 
1.0%
0.2446043165 164
 
1.0%
0.5323741007 156
 
0.9%
0.5107913669 152
 
0.9%
0.5395683453 149
 
0.9%
0.2913669065 147
 
0.9%
Other values (234) 9959
58.9%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 113
0.7%
0.1115107914 3
 
< 0.1%
0.118705036 6
 
< 0.1%
0.1223021583 5
 
< 0.1%
0.1258992806 3
 
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9892086331 2
 
< 0.1%
0.9856115108 2
 
< 0.1%
0.9820143885 1
 
< 0.1%
0.9784172662 8
< 0.1%

agility_home_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct63
Distinct (%)0.5%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5869138804
Minimum0
Maximum1
Zeros246
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:13.070141image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.369047619
Q10.4880952381
median0.5952380952
Q30.6904761905
95-th percentile0.8095238095
Maximum1
Range1
Interquartile range (IQR)0.2023809524

Descriptive statistics

Standard deviation0.1596497611
Coefficient of variation (CV)0.2720156508
Kurtosis2.065583434
Mean0.5869138804
Median Absolute Deviation (MAD)0.1071428571
Skewness-0.9336158245
Sum6896.238095
Variance0.02548804623
MonotonicityNot monotonic
2023-05-05T18:09:14.188165image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5714285714 626
 
3.7%
0.6428571429 575
 
3.4%
0.619047619 474
 
2.8%
0.5952380952 445
 
2.6%
0.6547619048 431
 
2.6%
0.5833333333 376
 
2.2%
0.6785714286 372
 
2.2%
0.6904761905 355
 
2.1%
0.7619047619 345
 
2.0%
0.5357142857 336
 
2.0%
Other values (53) 7415
43.9%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 246
1.5%
0.1904761905 1
 
< 0.1%
0.25 31
 
0.2%
0.2619047619 1
 
< 0.1%
0.2738095238 31
 
0.2%
ValueCountFrequency (%)
1 8
 
< 0.1%
0.9880952381 2
 
< 0.1%
0.9642857143 2
 
< 0.1%
0.9285714286 26
0.2%
0.9166666667 14
0.1%

agility_home_midfielder
Real number (ℝ)

Distinct328
Distinct (%)2.8%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5964921751
Minimum0
Maximum1
Zeros12
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:14.386171image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3925619835
Q10.4731404959
median0.5991735537
Q30.7190082645
95-th percentile0.7995867769
Maximum1
Range1
Interquartile range (IQR)0.2458677686

Descriptive statistics

Standard deviation0.1385166233
Coefficient of variation (CV)0.2322186762
Kurtosis-0.4294661745
Mean0.5964921751
Median Absolute Deviation (MAD)0.1219008264
Skewness-0.2637094791
Sum7008.783058
Variance0.01918685493
MonotonicityNot monotonic
2023-05-05T18:09:14.579191image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.576446281 105
 
0.6%
0.6198347107 101
 
0.6%
0.597107438 98
 
0.6%
0.5909090909 97
 
0.6%
0.6053719008 95
 
0.6%
0.4318181818 91
 
0.5%
0.6095041322 91
 
0.5%
0.6074380165 91
 
0.5%
0.5991735537 89
 
0.5%
0.5867768595 89
 
0.5%
Other values (318) 10803
63.9%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 12
0.1%
0.1115702479 1
 
< 0.1%
0.1260330579 1
 
< 0.1%
0.1280991736 4
 
< 0.1%
0.132231405 1
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9917355372 1
< 0.1%
0.9834710744 1
< 0.1%
0.9380165289 1
< 0.1%
0.8925619835 1
< 0.1%

reactions_away_defense
Real number (ℝ)

Distinct282
Distinct (%)2.4%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.6703148057
Minimum0
Maximum0.9793281654
Zeros8
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:14.780211image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4728682171
Q10.6201550388
median0.6899224806
Q30.7441860465
95-th percentile0.8062015504
Maximum0.9793281654
Range0.9793281654
Interquartile range (IQR)0.1240310078

Descriptive statistics

Standard deviation0.109038583
Coefficient of variation (CV)0.1626677227
Kurtosis3.444902363
Mean0.6703148057
Median Absolute Deviation (MAD)0.05943152455
Skewness-1.327719149
Sum7876.198966
Variance0.01188941257
MonotonicityNot monotonic
2023-05-05T18:09:14.956208image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7054263566 167
 
1.0%
0.7002583979 163
 
1.0%
0.7338501292 159
 
0.9%
0.7131782946 158
 
0.9%
0.677002584 157
 
0.9%
0.7312661499 151
 
0.9%
0.7467700258 150
 
0.9%
0.7364341085 149
 
0.9%
0.6950904393 147
 
0.9%
0.7545219638 144
 
0.9%
Other values (272) 10205
60.4%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 8
< 0.1%
0.1136950904 1
 
< 0.1%
0.1317829457 2
 
< 0.1%
0.1343669251 1
 
< 0.1%
0.1395348837 1
 
< 0.1%
ValueCountFrequency (%)
0.9793281654 1
< 0.1%
0.9638242894 1
< 0.1%
0.9586563307 1
< 0.1%
0.9560723514 1
< 0.1%
0.9483204134 1
< 0.1%

reactions_away_forward
Real number (ℝ)

Distinct234
Distinct (%)2.0%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4769395869
Minimum0
Maximum1
Zeros108
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:15.143203image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2189781022
Q10.2737226277
median0.4854014599
Q30.6167883212
95-th percentile0.8394160584
Maximum1
Range1
Interquartile range (IQR)0.3430656934

Descriptive statistics

Standard deviation0.2126457437
Coefficient of variation (CV)0.4458546733
Kurtosis-0.921086896
Mean0.4769395869
Median Absolute Deviation (MAD)0.204379562
Skewness0.3009787391
Sum5604.040146
Variance0.04521821231
MonotonicityNot monotonic
2023-05-05T18:09:15.371181image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2700729927 278
 
1.6%
0.2591240876 250
 
1.5%
0.2737226277 232
 
1.4%
0.2481751825 214
 
1.3%
0.2518248175 197
 
1.2%
0.2445255474 180
 
1.1%
0.295620438 176
 
1.0%
0.2664233577 175
 
1.0%
0.2810218978 162
 
1.0%
0.2554744526 159
 
0.9%
Other values (224) 9727
57.6%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 108
0.6%
0.1313868613 2
 
< 0.1%
0.1350364964 1
 
< 0.1%
0.1423357664 3
 
< 0.1%
0.1532846715 4
 
< 0.1%
ValueCountFrequency (%)
1 3
 
< 0.1%
0.9927007299 1
 
< 0.1%
0.9890510949 4
 
< 0.1%
0.9854014599 9
0.1%
0.9817518248 13
0.1%

reactions_away_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct66
Distinct (%)0.6%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.7348926608
Minimum0
Maximum1
Zeros261
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:15.565197image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4719101124
Q10.6741573034
median0.7640449438
Q30.8314606742
95-th percentile0.9213483146
Maximum1
Range1
Interquartile range (IQR)0.1573033708

Descriptive statistics

Standard deviation0.1622916294
Coefficient of variation (CV)0.220837189
Kurtosis7.42612255
Mean0.7348926608
Median Absolute Deviation (MAD)0.07865168539
Skewness-2.212640669
Sum8634.988764
Variance0.02633857297
MonotonicityNot monotonic
2023-05-05T18:09:15.745182image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7865168539 536
 
3.2%
0.797752809 468
 
2.8%
0.7640449438 462
 
2.7%
0.7528089888 454
 
2.7%
0.7752808989 449
 
2.7%
0.8202247191 446
 
2.6%
0.808988764 443
 
2.6%
0.6966292135 430
 
2.5%
0.7303370787 426
 
2.5%
0.7078651685 423
 
2.5%
Other values (56) 7213
42.7%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 261
1.5%
0.2247191011 1
 
< 0.1%
0.2471910112 10
 
0.1%
0.2696629213 18
 
0.1%
0.2921348315 9
 
0.1%
ValueCountFrequency (%)
1 19
 
0.1%
0.9887640449 48
 
0.3%
0.9775280899 37
 
0.2%
0.9662921348 30
 
0.2%
0.9550561798 131
0.8%

reactions_away_midfielder
Real number (ℝ)

Distinct348
Distinct (%)3.0%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5727318806
Minimum0
Maximum0.8953722334
Zeros6
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:15.933190image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3802816901
Q10.4668008048
median0.5734406439
Q30.6841046278
95-th percentile0.7786720322
Maximum0.8953722334
Range0.8953722334
Interquartile range (IQR)0.2173038229

Descriptive statistics

Standard deviation0.1332808595
Coefficient of variation (CV)0.2327107396
Kurtosis-0.3668124003
Mean0.5727318806
Median Absolute Deviation (MAD)0.1086519115
Skewness-0.1520089338
Sum6729.599598
Variance0.01776378751
MonotonicityNot monotonic
2023-05-05T18:09:16.103213image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5935613682 90
 
0.5%
0.5674044266 89
 
0.5%
0.4466800805 85
 
0.5%
0.5855130785 85
 
0.5%
0.5613682093 82
 
0.5%
0.6016096579 82
 
0.5%
0.6036217304 80
 
0.5%
0.5573440644 78
 
0.5%
0.5653923541 77
 
0.5%
0.569416499 77
 
0.5%
Other values (338) 10925
64.7%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 6
< 0.1%
0.09054325956 3
< 0.1%
0.1046277666 3
< 0.1%
0.1146881288 1
 
< 0.1%
0.1167002012 1
 
< 0.1%
ValueCountFrequency (%)
0.8953722334 1
< 0.1%
0.893360161 2
< 0.1%
0.8893360161 1
< 0.1%
0.8832997988 1
< 0.1%
0.8812877264 2
< 0.1%

reactions_home_defense
Real number (ℝ)

Distinct275
Distinct (%)2.3%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.682631131
Minimum0
Maximum1
Zeros11
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:16.287181image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4842105263
Q10.6315789474
median0.7026315789
Q30.7578947368
95-th percentile0.8210526316
Maximum1
Range1
Interquartile range (IQR)0.1263157895

Descriptive statistics

Standard deviation0.111027668
Coefficient of variation (CV)0.162646652
Kurtosis3.860062785
Mean0.682631131
Median Absolute Deviation (MAD)0.06052631579
Skewness-1.406664204
Sum8020.915789
Variance0.01232714307
MonotonicityNot monotonic
2023-05-05T18:09:16.537224image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6894736842 178
 
1.1%
0.7368421053 177
 
1.0%
0.7131578947 163
 
1.0%
0.75 158
 
0.9%
0.7052631579 155
 
0.9%
0.6973684211 150
 
0.9%
0.7473684211 149
 
0.9%
0.7315789474 149
 
0.9%
0.7736842105 148
 
0.9%
0.7184210526 144
 
0.9%
Other values (265) 10179
60.2%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 11
0.1%
0.1368421053 3
 
< 0.1%
0.1421052632 1
 
< 0.1%
0.1447368421 1
 
< 0.1%
0.1473684211 1
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9921052632 2
< 0.1%
0.9710526316 1
< 0.1%
0.9684210526 1
< 0.1%
0.9631578947 1
< 0.1%

reactions_home_forward
Real number (ℝ)

Distinct235
Distinct (%)2.0%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4790388529
Minimum0
Maximum1
Zeros113
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:16.723206image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2173913043
Q10.2753623188
median0.4891304348
Q30.6123188406
95-th percentile0.8333333333
Maximum1
Range1
Interquartile range (IQR)0.3369565217

Descriptive statistics

Standard deviation0.2088680852
Coefficient of variation (CV)0.436014916
Kurtosis-0.9043063786
Mean0.4790388529
Median Absolute Deviation (MAD)0.2028985507
Skewness0.2416752731
Sum5628.706522
Variance0.04362587703
MonotonicityNot monotonic
2023-05-05T18:09:16.928180image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.268115942 276
 
1.6%
0.2572463768 221
 
1.3%
0.2717391304 210
 
1.2%
0.25 186
 
1.1%
0.2463768116 184
 
1.1%
0.2644927536 178
 
1.1%
0.2789855072 169
 
1.0%
0.2934782609 165
 
1.0%
0.2608695652 162
 
1.0%
0.2427536232 156
 
0.9%
Other values (225) 9843
58.2%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 113
0.7%
0.07971014493 1
 
< 0.1%
0.1304347826 2
 
< 0.1%
0.1413043478 2
 
< 0.1%
0.152173913 6
 
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9927536232 1
 
< 0.1%
0.9855072464 1
 
< 0.1%
0.981884058 4
< 0.1%
0.9782608696 1
 
< 0.1%

reactions_home_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct66
Distinct (%)0.6%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.7360449438
Minimum0
Maximum1
Zeros246
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:17.122229image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4719101124
Q10.6741573034
median0.7640449438
Q30.8314606742
95-th percentile0.9213483146
Maximum1
Range1
Interquartile range (IQR)0.1573033708

Descriptive statistics

Standard deviation0.1595435032
Coefficient of variation (CV)0.2167578279
Kurtosis7.614321936
Mean0.7360449438
Median Absolute Deviation (MAD)0.07865168539
Skewness-2.210959861
Sum8648.52809
Variance0.02545412942
MonotonicityNot monotonic
2023-05-05T18:09:17.391198image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7865168539 539
 
3.2%
0.797752809 480
 
2.8%
0.7640449438 468
 
2.8%
0.808988764 464
 
2.7%
0.8202247191 461
 
2.7%
0.7528089888 454
 
2.7%
0.7078651685 444
 
2.6%
0.6966292135 443
 
2.6%
0.7303370787 429
 
2.5%
0.7191011236 411
 
2.4%
Other values (56) 7157
42.4%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 246
1.5%
0.2471910112 9
 
0.1%
0.2584269663 1
 
< 0.1%
0.2696629213 19
 
0.1%
0.2921348315 8
 
< 0.1%
ValueCountFrequency (%)
1 10
 
0.1%
0.9887640449 50
 
0.3%
0.9775280899 34
 
0.2%
0.9662921348 39
 
0.2%
0.9550561798 130
0.8%

reactions_home_midfielder
Real number (ℝ)

Distinct349
Distinct (%)3.0%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.565432059
Minimum0
Maximum1
Zeros12
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:17.606209image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3764940239
Q10.4601593625
median0.5657370518
Q30.6733067729
95-th percentile0.7709163347
Maximum1
Range1
Interquartile range (IQR)0.2131474104

Descriptive statistics

Standard deviation0.1315541572
Coefficient of variation (CV)0.2326612987
Kurtosis-0.2759482584
Mean0.565432059
Median Absolute Deviation (MAD)0.1075697211
Skewness-0.1353371436
Sum6643.826693
Variance0.01730649627
MonotonicityNot monotonic
2023-05-05T18:09:17.809202image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5756972112 95
 
0.6%
0.5956175299 90
 
0.5%
0.5796812749 89
 
0.5%
0.5976095618 88
 
0.5%
0.4282868526 87
 
0.5%
0.5876494024 86
 
0.5%
0.5677290837 86
 
0.5%
0.5557768924 85
 
0.5%
0.5478087649 82
 
0.5%
0.4501992032 80
 
0.5%
Other values (339) 10882
64.4%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 12
0.1%
0.08964143426 1
 
< 0.1%
0.1035856574 3
 
< 0.1%
0.1115537849 1
 
< 0.1%
0.1135458167 4
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9741035857 1
< 0.1%
0.890438247 2
< 0.1%
0.8844621514 2
< 0.1%
0.8725099602 2
< 0.1%

balance_away_defense
Real number (ℝ)

Distinct278
Distinct (%)2.4%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.642244736
Minimum0
Maximum0.9792746114
Zeros8
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:18.029213image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4455958549
Q10.5880829016
median0.6502590674
Q30.7124352332
95-th percentile0.792746114
Maximum0.9792746114
Range0.9792746114
Interquartile range (IQR)0.1243523316

Descriptive statistics

Standard deviation0.107174695
Coefficient of variation (CV)0.166875163
Kurtosis2.590146925
Mean0.642244736
Median Absolute Deviation (MAD)0.0621761658
Skewness-0.999470324
Sum7546.375648
Variance0.01148641525
MonotonicityNot monotonic
2023-05-05T18:09:18.223227image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6398963731 155
 
0.9%
0.6761658031 155
 
0.9%
0.6165803109 154
 
0.9%
0.6632124352 150
 
0.9%
0.6554404145 148
 
0.9%
0.621761658 143
 
0.8%
0.6502590674 143
 
0.8%
0.6424870466 142
 
0.8%
0.6813471503 142
 
0.8%
0.6606217617 141
 
0.8%
Other values (268) 10277
60.8%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 8
< 0.1%
0.1269430052 1
 
< 0.1%
0.1295336788 5
< 0.1%
0.1424870466 7
< 0.1%
0.1450777202 1
 
< 0.1%
ValueCountFrequency (%)
0.9792746114 1
< 0.1%
0.9663212435 1
< 0.1%
0.9585492228 1
< 0.1%
0.9507772021 2
< 0.1%
0.9455958549 2
< 0.1%

balance_away_forward
Real number (ℝ)

Distinct240
Distinct (%)2.0%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4657437422
Minimum0
Maximum0.9852941176
Zeros108
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:18.428195image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1911764706
Q10.2647058824
median0.4779411765
Q30.6056985294
95-th percentile0.8382352941
Maximum0.9852941176
Range0.9852941176
Interquartile range (IQR)0.3409926471

Descriptive statistics

Standard deviation0.2190585448
Coefficient of variation (CV)0.4703413594
Kurtosis-0.9870836458
Mean0.4657437422
Median Absolute Deviation (MAD)0.2058823529
Skewness0.2782001968
Sum5472.488971
Variance0.04798664606
MonotonicityNot monotonic
2023-05-05T18:09:18.609212image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2794117647 193
 
1.1%
0.2647058824 188
 
1.1%
0.2757352941 182
 
1.1%
0.2683823529 173
 
1.0%
0.2426470588 172
 
1.0%
0.2389705882 169
 
1.0%
0.25 165
 
1.0%
0.2720588235 154
 
0.9%
0.2463235294 149
 
0.9%
0.2279411765 148
 
0.9%
Other values (230) 10057
59.5%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 108
0.6%
0.09926470588 3
 
< 0.1%
0.1066176471 14
 
0.1%
0.1102941176 1
 
< 0.1%
0.1139705882 10
 
0.1%
ValueCountFrequency (%)
0.9852941176 1
 
< 0.1%
0.9779411765 1
 
< 0.1%
0.9742647059 2
 
< 0.1%
0.9669117647 12
0.1%
0.9632352941 2
 
< 0.1%

balance_away_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct66
Distinct (%)0.6%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5293822773
Minimum0
Maximum1
Zeros261
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:18.848214image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2967032967
Q10.4395604396
median0.5384615385
Q30.6373626374
95-th percentile0.7472527473
Maximum1
Range1
Interquartile range (IQR)0.1978021978

Descriptive statistics

Standard deviation0.1543793322
Coefficient of variation (CV)0.2916216481
Kurtosis1.496812485
Mean0.5293822773
Median Absolute Deviation (MAD)0.0989010989
Skewness-0.6965844733
Sum6220.241758
Variance0.02383297821
MonotonicityNot monotonic
2023-05-05T18:09:19.057225image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5494505495 535
 
3.2%
0.6593406593 530
 
3.1%
0.4725274725 456
 
2.7%
0.4505494505 412
 
2.4%
0.5274725275 409
 
2.4%
0.6703296703 394
 
2.3%
0.4395604396 392
 
2.3%
0.6043956044 384
 
2.3%
0.4835164835 323
 
1.9%
0.4615384615 313
 
1.9%
Other values (56) 7602
45.0%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 261
1.5%
0.1868131868 4
 
< 0.1%
0.2197802198 15
 
0.1%
0.2307692308 20
 
0.1%
0.2417582418 58
 
0.3%
ValueCountFrequency (%)
1 2
 
< 0.1%
0.967032967 19
0.1%
0.9120879121 4
 
< 0.1%
0.8901098901 10
 
0.1%
0.8681318681 25
0.1%

balance_away_midfielder
Real number (ℝ)

Distinct338
Distinct (%)2.9%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5820785063
Minimum0
Maximum0.9102040816
Zeros6
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:19.299258image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3775510204
Q10.4693877551
median0.5857142857
Q30.6979591837
95-th percentile0.7734693878
Maximum0.9102040816
Range0.9102040816
Interquartile range (IQR)0.2285714286

Descriptive statistics

Standard deviation0.1327138203
Coefficient of variation (CV)0.227999864
Kurtosis-0.4176472466
Mean0.5820785063
Median Absolute Deviation (MAD)0.1142857143
Skewness-0.3133252517
Sum6839.422449
Variance0.0176129581
MonotonicityNot monotonic
2023-05-05T18:09:19.492225image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5755102041 101
 
0.6%
0.5816326531 98
 
0.6%
0.5734693878 95
 
0.6%
0.5775510204 91
 
0.5%
0.587755102 90
 
0.5%
0.712244898 89
 
0.5%
0.5857142857 88
 
0.5%
0.5979591837 86
 
0.5%
0.5653061224 84
 
0.5%
0.7265306122 84
 
0.5%
Other values (328) 10844
64.2%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 6
< 0.1%
0.09387755102 1
 
< 0.1%
0.106122449 1
 
< 0.1%
0.1183673469 1
 
< 0.1%
0.1224489796 2
 
< 0.1%
ValueCountFrequency (%)
0.9102040816 1
< 0.1%
0.8897959184 1
< 0.1%
0.8775510204 1
< 0.1%
0.8755102041 1
< 0.1%
0.8734693878 1
< 0.1%

balance_home_defense
Real number (ℝ)

Distinct275
Distinct (%)2.3%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.6462903172
Minimum0
Maximum1
Zeros11
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:19.687307image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4490861619
Q10.592689295
median0.6553524804
Q30.7154046997
95-th percentile0.7989556136
Maximum1
Range1
Interquartile range (IQR)0.1227154047

Descriptive statistics

Standard deviation0.1074558212
Coefficient of variation (CV)0.1662655595
Kurtosis3.017115106
Mean0.6462903172
Median Absolute Deviation (MAD)0.06266318538
Skewness-1.052222876
Sum7593.911227
Variance0.01154675351
MonotonicityNot monotonic
2023-05-05T18:09:19.899271image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6109660574 159
 
0.9%
0.6501305483 156
 
0.9%
0.6684073107 149
 
0.9%
0.6605744125 147
 
0.9%
0.7023498695 146
 
0.9%
0.681462141 146
 
0.9%
0.6214099217 145
 
0.9%
0.6631853786 144
 
0.9%
0.6553524804 143
 
0.8%
0.6657963446 143
 
0.8%
Other values (265) 10272
60.8%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 11
0.1%
0.0861618799 1
 
< 0.1%
0.08877284595 1
 
< 0.1%
0.1253263708 1
 
< 0.1%
0.1305483029 1
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9921671018 1
< 0.1%
0.9791122715 2
< 0.1%
0.9738903394 1
< 0.1%
0.9582245431 2
< 0.1%

balance_home_forward
Real number (ℝ)

Distinct239
Distinct (%)2.0%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4687424906
Minimum0
Maximum0.9963235294
Zeros113
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:20.108270image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1875
Q10.2647058824
median0.4852941176
Q30.5992647059
95-th percentile0.8345588235
Maximum0.9963235294
Range0.9963235294
Interquartile range (IQR)0.3345588235

Descriptive statistics

Standard deviation0.2167615823
Coefficient of variation (CV)0.4624321172
Kurtosis-0.9546133225
Mean0.4687424906
Median Absolute Deviation (MAD)0.2058823529
Skewness0.2337106965
Sum5507.724265
Variance0.04698558358
MonotonicityNot monotonic
2023-05-05T18:09:20.287251image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2794117647 175
 
1.0%
0.2757352941 171
 
1.0%
0.2647058824 170
 
1.0%
0.2389705882 156
 
0.9%
0.2720588235 150
 
0.9%
0.2573529412 148
 
0.9%
0.5330882353 148
 
0.9%
0.2426470588 148
 
0.9%
0.2683823529 143
 
0.8%
0.2169117647 142
 
0.8%
Other values (229) 10199
60.4%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 113
0.7%
0.09926470588 3
 
< 0.1%
0.1066176471 11
 
0.1%
0.1139705882 4
 
< 0.1%
0.1176470588 28
 
0.2%
ValueCountFrequency (%)
0.9963235294 1
 
< 0.1%
0.9926470588 1
 
< 0.1%
0.9852941176 2
< 0.1%
0.9742647059 4
< 0.1%
0.9705882353 3
< 0.1%

balance_home_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct68
Distinct (%)0.6%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5316651859
Minimum0
Maximum1
Zeros246
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:20.479248image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2967032967
Q10.4395604396
median0.5384615385
Q30.6373626374
95-th percentile0.7582417582
Maximum1
Range1
Interquartile range (IQR)0.1978021978

Descriptive statistics

Standard deviation0.1531364367
Coefficient of variation (CV)0.2880317176
Kurtosis1.494710115
Mean0.5316651859
Median Absolute Deviation (MAD)0.0989010989
Skewness-0.7003412939
Sum6247.065934
Variance0.02345076824
MonotonicityNot monotonic
2023-05-05T18:09:20.707276image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5494505495 536
 
3.2%
0.6593406593 534
 
3.2%
0.4725274725 451
 
2.7%
0.5274725275 391
 
2.3%
0.6043956044 390
 
2.3%
0.4395604396 390
 
2.3%
0.6703296703 388
 
2.3%
0.4505494505 367
 
2.2%
0.6263736264 326
 
1.9%
0.5934065934 323
 
1.9%
Other values (58) 7654
45.3%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 246
1.5%
0.1318681319 1
 
< 0.1%
0.1648351648 1
 
< 0.1%
0.1868131868 4
 
< 0.1%
0.2197802198 21
 
0.1%
ValueCountFrequency (%)
1 3
 
< 0.1%
0.967032967 12
0.1%
0.9120879121 6
 
< 0.1%
0.8901098901 9
 
0.1%
0.8681318681 27
0.2%

balance_home_midfielder
Real number (ℝ)

Distinct343
Distinct (%)2.9%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5894883926
Minimum0
Maximum1
Zeros12
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:20.908249image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3871635611
Q10.4761904762
median0.5942028986
Q30.7075569358
95-th percentile0.7867494824
Maximum1
Range1
Interquartile range (IQR)0.2313664596

Descriptive statistics

Standard deviation0.1346380051
Coefficient of variation (CV)0.2283980597
Kurtosis-0.2949257183
Mean0.5894883926
Median Absolute Deviation (MAD)0.115942029
Skewness-0.2930482247
Sum6926.488613
Variance0.01812739241
MonotonicityNot monotonic
2023-05-05T18:09:21.118217image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5817805383 103
 
0.6%
0.5962732919 102
 
0.6%
0.5879917184 99
 
0.6%
0.5942028986 95
 
0.6%
0.5900621118 92
 
0.5%
0.5983436853 92
 
0.5%
0.6273291925 89
 
0.5%
0.6066252588 89
 
0.5%
0.6004140787 87
 
0.5%
0.5859213251 87
 
0.5%
Other values (333) 10815
64.0%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 12
0.1%
0.05175983437 1
 
< 0.1%
0.09523809524 3
 
< 0.1%
0.1076604555 1
 
< 0.1%
0.1138716356 1
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9958592133 1
< 0.1%
0.9089026915 2
< 0.1%
0.9068322981 1
< 0.1%
0.9047619048 2
< 0.1%

shot_power_away_defense
Real number (ℝ)

Distinct310
Distinct (%)2.6%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5906618521
Minimum0
Maximum0.9634464752
Zeros8
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:21.307665image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.365535248
Q10.5169712794
median0.6083550914
Q30.6762402089
95-th percentile0.7597911227
Maximum0.9634464752
Range0.9634464752
Interquartile range (IQR)0.1592689295

Descriptive statistics

Standard deviation0.1227348792
Coefficient of variation (CV)0.2077921212
Kurtosis1.212984646
Mean0.5906618521
Median Absolute Deviation (MAD)0.07571801567
Skewness-0.8048340449
Sum6940.276762
Variance0.01506385057
MonotonicityNot monotonic
2023-05-05T18:09:21.490608image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6422976501 130
 
0.8%
0.6266318538 129
 
0.8%
0.6161879896 126
 
0.7%
0.6318537859 126
 
0.7%
0.6631853786 125
 
0.7%
0.6553524804 123
 
0.7%
0.6396866841 123
 
0.7%
0.5848563969 123
 
0.7%
0.637075718 121
 
0.7%
0.6684073107 119
 
0.7%
Other values (300) 10505
62.2%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 8
< 0.1%
0.05744125326 2
 
< 0.1%
0.08877284595 2
 
< 0.1%
0.09399477807 4
< 0.1%
0.09921671018 1
 
< 0.1%
ValueCountFrequency (%)
0.9634464752 1
< 0.1%
0.9608355091 2
< 0.1%
0.9503916449 2
< 0.1%
0.9425587467 1
< 0.1%
0.9321148825 2
< 0.1%

shot_power_away_forward
Real number (ℝ)

Distinct227
Distinct (%)1.9%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4948920526
Minimum0
Maximum0.9963235294
Zeros108
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:21.689543image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2352941176
Q10.2830882353
median0.5110294118
Q30.6213235294
95-th percentile0.8602941176
Maximum0.9963235294
Range0.9963235294
Interquartile range (IQR)0.3382352941

Descriptive statistics

Standard deviation0.2164503691
Coefficient of variation (CV)0.4373688525
Kurtosis-1.010070974
Mean0.4948920526
Median Absolute Deviation (MAD)0.2169117647
Skewness0.2527653998
Sum5814.981618
Variance0.0468507623
MonotonicityNot monotonic
2023-05-05T18:09:21.885481image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2757352941 257
 
1.5%
0.2720588235 251
 
1.5%
0.2867647059 247
 
1.5%
0.2830882353 247
 
1.5%
0.2794117647 218
 
1.3%
0.3088235294 204
 
1.2%
0.2683823529 198
 
1.2%
0.2647058824 196
 
1.2%
0.3014705882 192
 
1.1%
0.3051470588 192
 
1.1%
Other values (217) 9548
56.5%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 108
0.6%
0.08455882353 4
 
< 0.1%
0.09926470588 1
 
< 0.1%
0.1176470588 1
 
< 0.1%
0.125 3
 
< 0.1%
ValueCountFrequency (%)
0.9963235294 1
 
< 0.1%
0.9852941176 1
 
< 0.1%
0.9742647059 1
 
< 0.1%
0.9705882353 12
0.1%
0.9669117647 2
 
< 0.1%

shot_power_away_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct70
Distinct (%)0.6%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.3618712766
Minimum0
Maximum1
Zeros261
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:22.092415image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1625
Q10.275
median0.325
Q30.45
95-th percentile0.6
Maximum1
Range1
Interquartile range (IQR)0.175

Descriptive statistics

Standard deviation0.1371174369
Coefficient of variation (CV)0.3789121873
Kurtosis1.830682684
Mean0.3618712766
Median Absolute Deviation (MAD)0.0625
Skewness0.5686826015
Sum4251.9875
Variance0.01880119151
MonotonicityNot monotonic
2023-05-05T18:09:22.290351image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.275 1107
 
6.6%
0.3125 1044
 
6.2%
0.2625 815
 
4.8%
0.2875 740
 
4.4%
0.4375 652
 
3.9%
0.4625 440
 
2.6%
0.3 438
 
2.6%
0.45 410
 
2.4%
0.3625 403
 
2.4%
0.35 389
 
2.3%
Other values (60) 5312
31.4%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 261
1.5%
0.0375 2
 
< 0.1%
0.075 9
 
0.1%
0.0875 3
 
< 0.1%
0.1 2
 
< 0.1%
ValueCountFrequency (%)
1 2
 
< 0.1%
0.975 12
0.1%
0.9375 12
0.1%
0.9 1
 
< 0.1%
0.8875 19
0.1%
Distinct351
Distinct (%)3.0%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.6437862625
Minimum0
Maximum0.9908675799
Zeros6
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:22.497286image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4132420091
Q10.5182648402
median0.6484018265
Q30.7716894977
95-th percentile0.8812785388
Maximum0.9908675799
Range0.9908675799
Interquartile range (IQR)0.2534246575

Descriptive statistics

Standard deviation0.1543496308
Coefficient of variation (CV)0.2397529114
Kurtosis-0.4515980119
Mean0.6437862625
Median Absolute Deviation (MAD)0.1255707763
Skewness-0.1839911451
Sum7564.488584
Variance0.02382380851
MonotonicityNot monotonic
2023-05-05T18:09:22.751709image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5296803653 78
 
0.5%
0.6369863014 78
 
0.5%
0.5228310502 78
 
0.5%
0.6712328767 78
 
0.5%
0.4817351598 76
 
0.4%
0.4794520548 75
 
0.4%
0.4703196347 75
 
0.4%
0.6643835616 74
 
0.4%
0.4931506849 74
 
0.4%
0.703196347 73
 
0.4%
Other values (341) 10991
65.0%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 6
< 0.1%
0.06164383562 1
 
< 0.1%
0.06392694064 2
 
< 0.1%
0.1095890411 3
< 0.1%
0.1232876712 4
< 0.1%
ValueCountFrequency (%)
0.9908675799 1
 
< 0.1%
0.9771689498 1
 
< 0.1%
0.9726027397 2
< 0.1%
0.9657534247 1
 
< 0.1%
0.9611872146 3
< 0.1%

shot_power_home_defense
Real number (ℝ)

Distinct311
Distinct (%)2.6%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.6123503163
Minimum0
Maximum1
Zeros11
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:22.959642image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3837837838
Q10.5378378378
median0.6297297297
Q30.7
95-th percentile0.7891891892
Maximum1
Range1
Interquartile range (IQR)0.1621621622

Descriptive statistics

Standard deviation0.126097975
Coefficient of variation (CV)0.205924569
Kurtosis1.357737439
Mean0.6123503163
Median Absolute Deviation (MAD)0.07837837838
Skewness-0.8174637011
Sum7195.116216
Variance0.01590069929
MonotonicityNot monotonic
2023-05-05T18:09:23.163577image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6783783784 146
 
0.9%
0.672972973 134
 
0.8%
0.6567567568 130
 
0.8%
0.6648648649 130
 
0.8%
0.6378378378 129
 
0.8%
0.6054054054 127
 
0.8%
0.6486486486 124
 
0.7%
0.6702702703 123
 
0.7%
0.6351351351 121
 
0.7%
0.6756756757 119
 
0.7%
Other values (301) 10467
61.9%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 11
0.1%
0.04594594595 1
 
< 0.1%
0.05945945946 3
 
< 0.1%
0.06486486486 1
 
< 0.1%
0.08378378378 2
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9945945946 1
< 0.1%
0.9891891892 1
< 0.1%
0.9810810811 1
< 0.1%
0.9621621622 1
< 0.1%

shot_power_home_forward
Real number (ℝ)

Distinct229
Distinct (%)1.9%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5023832928
Minimum0
Maximum1
Zeros113
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:23.359515image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2361623616
Q10.2878228782
median0.520295203
Q30.6236162362
95-th percentile0.8634686347
Maximum1
Range1
Interquartile range (IQR)0.3357933579

Descriptive statistics

Standard deviation0.2151022389
Coefficient of variation (CV)0.4281635995
Kurtosis-0.9657978869
Mean0.5023832928
Median Absolute Deviation (MAD)0.2177121771
Skewness0.2041210136
Sum5903.00369
Variance0.0462689732
MonotonicityNot monotonic
2023-05-05T18:09:23.593440image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2878228782 231
 
1.4%
0.2767527675 218
 
1.3%
0.2730627306 216
 
1.3%
0.3025830258 216
 
1.3%
0.3099630996 206
 
1.2%
0.2693726937 206
 
1.2%
0.2804428044 196
 
1.2%
0.2841328413 194
 
1.1%
0.2656826568 177
 
1.0%
0.3062730627 176
 
1.0%
Other values (219) 9714
57.5%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 113
0.7%
0.08487084871 3
 
< 0.1%
0.09963099631 1
 
< 0.1%
0.110701107 1
 
< 0.1%
0.1328413284 1
 
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9963099631 1
 
< 0.1%
0.9815498155 1
 
< 0.1%
0.9778597786 4
 
< 0.1%
0.9741697417 10
0.1%

shot_power_home_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct69
Distinct (%)0.6%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.3585458366
Minimum0
Maximum0.987654321
Zeros246
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:23.829365image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1604938272
Q10.2716049383
median0.3209876543
Q30.4444444444
95-th percentile0.5925925926
Maximum0.987654321
Range0.987654321
Interquartile range (IQR)0.1728395062

Descriptive statistics

Standard deviation0.1354112073
Coefficient of variation (CV)0.3776677721
Kurtosis1.880532405
Mean0.3585458366
Median Absolute Deviation (MAD)0.06172839506
Skewness0.6075369808
Sum4212.91358
Variance0.01833619507
MonotonicityNot monotonic
2023-05-05T18:09:24.012306image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2716049383 1111
 
6.6%
0.3086419753 1026
 
6.1%
0.2592592593 841
 
5.0%
0.2839506173 781
 
4.6%
0.4320987654 669
 
4.0%
0.4567901235 459
 
2.7%
0.4444444444 446
 
2.6%
0.3580246914 415
 
2.5%
0.2962962963 408
 
2.4%
0.3456790123 367
 
2.2%
Other values (59) 5227
30.9%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 246
1.5%
0.03703703704 2
 
< 0.1%
0.07407407407 19
 
0.1%
0.08641975309 4
 
< 0.1%
0.0987654321 1
 
< 0.1%
ValueCountFrequency (%)
0.987654321 3
 
< 0.1%
0.962962963 12
0.1%
0.9259259259 10
0.1%
0.8765432099 23
0.1%
0.8641975309 7
 
< 0.1%
Distinct341
Distinct (%)2.9%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.6345332117
Minimum0
Maximum1
Zeros12
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:24.235267image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4130925508
Q10.5124153499
median0.6388261851
Q30.7562076749
95-th percentile0.8668171558
Maximum1
Range1
Interquartile range (IQR)0.2437923251

Descriptive statistics

Standard deviation0.1511480874
Coefficient of variation (CV)0.2382035875
Kurtosis-0.3820900114
Mean0.6345332117
Median Absolute Deviation (MAD)0.1218961625
Skewness-0.1836597199
Sum7455.765237
Variance0.02284574433
MonotonicityNot monotonic
2023-05-05T18:09:24.430348image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.683972912 88
 
0.5%
0.6523702032 79
 
0.5%
0.5237020316 79
 
0.5%
0.6568848758 76
 
0.4%
0.6997742664 76
 
0.4%
0.4514672686 76
 
0.4%
0.6704288939 76
 
0.4%
0.5011286682 75
 
0.4%
0.5282167043 75
 
0.4%
0.5169300226 75
 
0.4%
Other values (331) 10975
64.9%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 12
0.1%
0.07900677201 2
 
< 0.1%
0.1015801354 1
 
< 0.1%
0.1083521445 3
 
< 0.1%
0.1128668172 1
 
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9729119639 1
 
< 0.1%
0.9593679458 3
< 0.1%
0.9571106095 1
 
< 0.1%
0.9525959368 1
 
< 0.1%

jumping_away_defense
Real number (ℝ)

Distinct290
Distinct (%)2.5%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.6692574051
Minimum0
Maximum1
Zeros8
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:24.643279image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4926470588
Q10.6299019608
median0.6887254902
Q30.7328431373
95-th percentile0.7818627451
Maximum1
Range1
Interquartile range (IQR)0.1029411765

Descriptive statistics

Standard deviation0.0994343826
Coefficient of variation (CV)0.1485741986
Kurtosis5.190287469
Mean0.6692574051
Median Absolute Deviation (MAD)0.04901960784
Skewness-1.654755774
Sum7863.77451
Variance0.009887196443
MonotonicityNot monotonic
2023-05-05T18:09:24.874715image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6887254902 201
 
1.2%
0.7107843137 199
 
1.2%
0.7205882353 191
 
1.1%
0.693627451 189
 
1.1%
0.7450980392 186
 
1.1%
0.6960784314 184
 
1.1%
0.6862745098 173
 
1.0%
0.7083333333 172
 
1.0%
0.7328431373 172
 
1.0%
0.7058823529 170
 
1.0%
Other values (280) 9913
58.7%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 8
< 0.1%
0.1274509804 1
 
< 0.1%
0.1397058824 1
 
< 0.1%
0.1470588235 1
 
< 0.1%
0.1495098039 4
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9681372549 1
 
< 0.1%
0.9607843137 1
 
< 0.1%
0.9583333333 4
< 0.1%
0.9534313725 1
 
< 0.1%

jumping_away_forward
Real number (ℝ)

Distinct217
Distinct (%)1.8%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4975222361
Minimum0
Maximum0.9882352941
Zeros108
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:25.127634image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2274509804
Q10.2901960784
median0.5176470588
Q30.6470588235
95-th percentile0.8549019608
Maximum0.9882352941
Range0.9882352941
Interquartile range (IQR)0.3568627451

Descriptive statistics

Standard deviation0.2135488192
Coefficient of variation (CV)0.4292246731
Kurtosis-1.013381741
Mean0.4975222361
Median Absolute Deviation (MAD)0.2078431373
Skewness0.1798240055
Sum5845.886275
Variance0.04560309817
MonotonicityNot monotonic
2023-05-05T18:09:25.348566image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2784313725 247
 
1.5%
0.2745098039 237
 
1.4%
0.2823529412 229
 
1.4%
0.2901960784 199
 
1.2%
0.2862745098 187
 
1.1%
0.2941176471 181
 
1.1%
0.2980392157 157
 
0.9%
0.262745098 156
 
0.9%
0.3137254902 148
 
0.9%
0.2431372549 145
 
0.9%
Other values (207) 9864
58.4%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 108
0.6%
0.09803921569 4
 
< 0.1%
0.1254901961 3
 
< 0.1%
0.1294117647 10
 
0.1%
0.1333333333 22
 
0.1%
ValueCountFrequency (%)
0.9882352941 1
 
< 0.1%
0.968627451 3
< 0.1%
0.9647058824 1
 
< 0.1%
0.9607843137 3
< 0.1%
0.9568627451 4
< 0.1%

jumping_away_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct59
Distinct (%)0.5%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.7351130024
Minimum0
Maximum1
Zeros261
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:25.543502image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.5
Q10.6777777778
median0.7666666667
Q30.8333333333
95-th percentile0.9
Maximum1
Range1
Interquartile range (IQR)0.1555555556

Descriptive statistics

Standard deviation0.1565266888
Coefficient of variation (CV)0.2129287447
Kurtosis8.625201492
Mean0.7351130024
Median Absolute Deviation (MAD)0.06666666667
Skewness-2.425178572
Sum8637.577778
Variance0.0245006043
MonotonicityNot monotonic
2023-05-05T18:09:25.748437image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8333333333 1020
 
6.0%
0.7777777778 587
 
3.5%
0.8 577
 
3.4%
0.8111111111 560
 
3.3%
0.7555555556 515
 
3.0%
0.7888888889 494
 
2.9%
0.7666666667 407
 
2.4%
0.7444444444 405
 
2.4%
0.7111111111 401
 
2.4%
0.8222222222 398
 
2.4%
Other values (49) 6386
37.8%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 261
1.5%
0.2333333333 9
 
0.1%
0.3555555556 3
 
< 0.1%
0.3777777778 25
 
0.1%
0.3888888889 7
 
< 0.1%
ValueCountFrequency (%)
1 5
 
< 0.1%
0.9888888889 13
 
0.1%
0.9666666667 16
 
0.1%
0.9555555556 8
 
< 0.1%
0.9444444444 121
0.7%

jumping_away_midfielder
Real number (ℝ)

Distinct322
Distinct (%)2.7%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.6330673342
Minimum0
Maximum1
Zeros6
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:25.960368image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4188235294
Q10.5152941176
median0.6376470588
Q30.7529411765
95-th percentile0.8423529412
Maximum1
Range1
Interquartile range (IQR)0.2376470588

Descriptive statistics

Standard deviation0.1414771393
Coefficient of variation (CV)0.2234788176
Kurtosis-0.3362154245
Mean0.6330673342
Median Absolute Deviation (MAD)0.12
Skewness-0.2716831308
Sum7438.541176
Variance0.02001578094
MonotonicityNot monotonic
2023-05-05T18:09:26.190326image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6352941176 98
 
0.6%
0.6211764706 98
 
0.6%
0.6117647059 93
 
0.6%
0.64 93
 
0.6%
0.8 91
 
0.5%
0.7647058824 91
 
0.5%
0.4917647059 91
 
0.5%
0.4658823529 86
 
0.5%
0.8023529412 84
 
0.5%
0.6517647059 84
 
0.5%
Other values (312) 10841
64.2%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 6
< 0.1%
0.1129411765 1
 
< 0.1%
0.1176470588 4
< 0.1%
0.1270588235 2
 
< 0.1%
0.1341176471 6
< 0.1%
ValueCountFrequency (%)
1 2
< 0.1%
0.9858823529 1
 
< 0.1%
0.9788235294 1
 
< 0.1%
0.9764705882 1
 
< 0.1%
0.9647058824 3
< 0.1%

jumping_home_defense
Real number (ℝ)

Distinct294
Distinct (%)2.5%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.6698717131
Minimum0
Maximum1
Zeros11
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:26.422305image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4938574939
Q10.6314496314
median0.6904176904
Q30.7346437346
95-th percentile0.7837837838
Maximum1
Range1
Interquartile range (IQR)0.1031941032

Descriptive statistics

Standard deviation0.1004811169
Coefficient of variation (CV)0.1500005373
Kurtosis5.602730554
Mean0.6698717131
Median Absolute Deviation (MAD)0.04914004914
Skewness-1.726851121
Sum7870.992629
Variance0.01009645485
MonotonicityNot monotonic
2023-05-05T18:09:26.617269image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7223587224 193
 
1.1%
0.7125307125 189
 
1.1%
0.7100737101 188
 
1.1%
0.6977886978 186
 
1.1%
0.7297297297 185
 
1.1%
0.6953316953 184
 
1.1%
0.6928746929 184
 
1.1%
0.7051597052 172
 
1.0%
0.7272727273 169
 
1.0%
0.687960688 169
 
1.0%
Other values (284) 9931
58.8%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 11
0.1%
0.08108108108 1
 
< 0.1%
0.1277641278 1
 
< 0.1%
0.1375921376 2
 
< 0.1%
0.14004914 2
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9950859951 1
< 0.1%
0.9926289926 1
< 0.1%
0.9803439803 1
< 0.1%
0.9705159705 1
< 0.1%

jumping_home_forward
Real number (ℝ)

Distinct219
Distinct (%)1.9%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.508935157
Minimum0
Maximum1
Zeros113
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:26.830342image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2301587302
Q10.2976190476
median0.5277777778
Q30.6547619048
95-th percentile0.8611111111
Maximum1
Range1
Interquartile range (IQR)0.3571428571

Descriptive statistics

Standard deviation0.2140003262
Coefficient of variation (CV)0.4204864278
Kurtosis-0.9782102025
Mean0.508935157
Median Absolute Deviation (MAD)0.2063492063
Skewness0.1226156757
Sum5979.988095
Variance0.0457961396
MonotonicityNot monotonic
2023-05-05T18:09:27.021305image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2857142857 254
 
1.5%
0.2817460317 220
 
1.3%
0.2777777778 207
 
1.2%
0.2936507937 189
 
1.1%
0.2896825397 185
 
1.1%
0.2976190476 166
 
1.0%
0.5238095238 142
 
0.8%
0.3253968254 139
 
0.8%
0.5674603175 139
 
0.8%
0.2658730159 139
 
0.8%
Other values (209) 9970
59.0%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 113
0.7%
0.09920634921 3
 
< 0.1%
0.123015873 1
 
< 0.1%
0.130952381 13
 
0.1%
0.1349206349 13
 
0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9920634921 3
< 0.1%
0.9801587302 3
< 0.1%
0.9761904762 3
< 0.1%
0.9722222222 5
< 0.1%

jumping_home_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct61
Distinct (%)0.5%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.7366364066
Minimum0
Maximum1
Zeros246
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:27.235293image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.5111111111
Q10.6777777778
median0.7777777778
Q30.8333333333
95-th percentile0.9
Maximum1
Range1
Interquartile range (IQR)0.1555555556

Descriptive statistics

Standard deviation0.1550456123
Coefficient of variation (CV)0.2104778028
Kurtosis8.551215813
Mean0.7366364066
Median Absolute Deviation (MAD)0.06666666667
Skewness-2.391705028
Sum8655.477778
Variance0.0240391419
MonotonicityNot monotonic
2023-05-05T18:09:27.447294image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8333333333 1032
 
6.1%
0.7777777778 592
 
3.5%
0.8111111111 556
 
3.3%
0.8 528
 
3.1%
0.7555555556 509
 
3.0%
0.7888888889 502
 
3.0%
0.8222222222 458
 
2.7%
0.7666666667 423
 
2.5%
0.7111111111 391
 
2.3%
0.7444444444 391
 
2.3%
Other values (51) 6368
37.7%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 246
1.5%
0.2333333333 9
 
0.1%
0.3444444444 1
 
< 0.1%
0.3555555556 1
 
< 0.1%
0.3777777778 23
 
0.1%
ValueCountFrequency (%)
1 8
 
< 0.1%
0.9888888889 20
0.1%
0.9777777778 2
 
< 0.1%
0.9666666667 22
0.1%
0.9555555556 7
 
< 0.1%

jumping_home_midfielder
Real number (ℝ)

Distinct319
Distinct (%)2.7%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.630989161
Minimum0
Maximum1
Zeros12
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:27.647295image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4174528302
Q10.5141509434
median0.6344339623
Q30.7476415094
95-th percentile0.8396226415
Maximum1
Range1
Interquartile range (IQR)0.233490566

Descriptive statistics

Standard deviation0.1405042014
Coefficient of variation (CV)0.2226729238
Kurtosis-0.2194198443
Mean0.630989161
Median Absolute Deviation (MAD)0.1179245283
Skewness-0.2692227784
Sum7414.122642
Variance0.01974143061
MonotonicityNot monotonic
2023-05-05T18:09:27.848294image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6650943396 98
 
0.6%
0.6037735849 98
 
0.6%
0.6509433962 89
 
0.5%
0.641509434 88
 
0.5%
0.6273584906 88
 
0.5%
0.6226415094 88
 
0.5%
0.5872641509 87
 
0.5%
0.6603773585 86
 
0.5%
0.6485849057 85
 
0.5%
0.6320754717 84
 
0.5%
Other values (309) 10859
64.3%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 12
0.1%
0.1179245283 1
 
< 0.1%
0.1297169811 1
 
< 0.1%
0.1320754717 2
 
< 0.1%
0.1344339623 2
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9882075472 1
< 0.1%
0.9858490566 1
< 0.1%
0.9811320755 1
< 0.1%
0.9764150943 1
< 0.1%

stamina_away_defense
Real number (ℝ)

Distinct284
Distinct (%)2.4%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.6708197472
Minimum0
Maximum1
Zeros8
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:28.052295image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.466992665
Q10.6381418093
median0.6968215159
Q30.7359413203
95-th percentile0.7848410758
Maximum1
Range1
Interquartile range (IQR)0.097799511

Descriptive statistics

Standard deviation0.1036634128
Coefficient of variation (CV)0.1545324407
Kurtosis4.570824913
Mean0.6708197472
Median Absolute Deviation (MAD)0.04400977995
Skewness-1.698457127
Sum7882.132029
Variance0.01074610315
MonotonicityNot monotonic
2023-05-05T18:09:28.285319image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.728606357 213
 
1.3%
0.7090464548 209
 
1.2%
0.6943765281 207
 
1.2%
0.7188264059 203
 
1.2%
0.7212713936 198
 
1.2%
0.7237163814 196
 
1.2%
0.7139364303 195
 
1.2%
0.7261613692 195
 
1.2%
0.7114914425 190
 
1.1%
0.7163814181 190
 
1.1%
Other values (274) 9754
57.7%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 8
< 0.1%
0.1369193154 8
< 0.1%
0.1491442543 1
 
< 0.1%
0.1515892421 5
< 0.1%
0.1540342298 2
 
< 0.1%
ValueCountFrequency (%)
1 2
< 0.1%
0.9853300733 1
< 0.1%
0.9731051345 1
< 0.1%
0.9706601467 1
< 0.1%
0.9584352078 1
< 0.1%

stamina_away_forward
Real number (ℝ)

Distinct224
Distinct (%)1.9%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4867034172
Minimum0
Maximum1
Zeros108
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:28.501322image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2159090909
Q10.2727272727
median0.5075757576
Q30.6136363636
95-th percentile0.8560606061
Maximum1
Range1
Interquartile range (IQR)0.3409090909

Descriptive statistics

Standard deviation0.2195460576
Coefficient of variation (CV)0.4510879723
Kurtosis-1.011967613
Mean0.4867034172
Median Absolute Deviation (MAD)0.2234848485
Skewness0.2525806016
Sum5718.765152
Variance0.04820047139
MonotonicityNot monotonic
2023-05-05T18:09:28.710307image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2575757576 282
 
1.7%
0.2727272727 260
 
1.5%
0.2613636364 257
 
1.5%
0.2651515152 228
 
1.3%
0.2689393939 222
 
1.3%
0.2765151515 218
 
1.3%
0.2803030303 202
 
1.2%
0.2840909091 197
 
1.2%
0.2424242424 194
 
1.1%
0.2878787879 181
 
1.1%
Other values (214) 9509
56.3%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 108
0.6%
0.1136363636 4
 
< 0.1%
0.1174242424 4
 
< 0.1%
0.1212121212 7
 
< 0.1%
0.125 2
 
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9924242424 2
< 0.1%
0.9810606061 2
< 0.1%
0.9772727273 2
< 0.1%
0.9734848485 3
< 0.1%

stamina_away_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct66
Distinct (%)0.6%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.529037037
Minimum0
Maximum1
Zeros261
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:28.926771image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2962962963
Q10.4074074074
median0.5308641975
Q30.6419753086
95-th percentile0.8024691358
Maximum1
Range1
Interquartile range (IQR)0.2345679012

Descriptive statistics

Standard deviation0.1676460934
Coefficient of variation (CV)0.3168891432
Kurtosis0.7815555275
Mean0.529037037
Median Absolute Deviation (MAD)0.1111111111
Skewness-0.3381916682
Sum6216.185185
Variance0.02810521264
MonotonicityNot monotonic
2023-05-05T18:09:29.117711image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6419753086 499
 
3.0%
0.3827160494 497
 
2.9%
0.6296296296 440
 
2.6%
0.5308641975 424
 
2.5%
0.5679012346 410
 
2.4%
0.3703703704 409
 
2.4%
0.4197530864 401
 
2.4%
0.3950617284 387
 
2.3%
0.5432098765 378
 
2.2%
0.6172839506 325
 
1.9%
Other values (56) 7580
44.9%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 261
1.5%
0.1234567901 1
 
< 0.1%
0.1975308642 5
 
< 0.1%
0.2222222222 10
 
0.1%
0.2345679012 2
 
< 0.1%
ValueCountFrequency (%)
1 10
0.1%
0.975308642 15
0.1%
0.962962963 5
 
< 0.1%
0.950617284 9
0.1%
0.9382716049 10
0.1%

stamina_away_midfielder
Real number (ℝ)

Distinct352
Distinct (%)3.0%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.6269637361
Minimum0
Maximum0.9748427673
Zeros6
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:29.292656image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4213836478
Q10.5115303983
median0.6331236897
Q30.7421383648
95-th percentile0.8301886792
Maximum0.9748427673
Range0.9748427673
Interquartile range (IQR)0.2306079665

Descriptive statistics

Standard deviation0.1376756286
Coefficient of variation (CV)0.2195910555
Kurtosis-0.2108212543
Mean0.6269637361
Median Absolute Deviation (MAD)0.1153039832
Skewness-0.3252230879
Sum7366.823899
Variance0.01895457871
MonotonicityNot monotonic
2023-05-05T18:09:29.483593image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6226415094 98
 
0.6%
0.6498951782 97
 
0.6%
0.6310272537 94
 
0.6%
0.6477987421 93
 
0.6%
0.6561844864 88
 
0.5%
0.6184486373 86
 
0.5%
0.607966457 85
 
0.5%
0.6519916143 85
 
0.5%
0.6352201258 83
 
0.5%
0.6247379455 83
 
0.5%
Other values (342) 10858
64.3%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 6
< 0.1%
0.08805031447 3
< 0.1%
0.1153039832 1
 
< 0.1%
0.1215932914 1
 
< 0.1%
0.1236897275 1
 
< 0.1%
ValueCountFrequency (%)
0.9748427673 1
< 0.1%
0.9371069182 1
< 0.1%
0.9308176101 1
< 0.1%
0.928721174 1
< 0.1%
0.9266247379 2
< 0.1%

stamina_home_defense
Real number (ℝ)

Distinct294
Distinct (%)2.5%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.681854557
Minimum0
Maximum0.9950248756
Zeros11
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:29.659537image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4776119403
Q10.6492537313
median0.7089552239
Q30.7462686567
95-th percentile0.7960199005
Maximum0.9950248756
Range0.9950248756
Interquartile range (IQR)0.09701492537

Descriptive statistics

Standard deviation0.1057582067
Coefficient of variation (CV)0.1551037616
Kurtosis4.980545924
Mean0.681854557
Median Absolute Deviation (MAD)0.0447761194
Skewness-1.75867165
Sum8011.791045
Variance0.01118479827
MonotonicityNot monotonic
2023-05-05T18:09:29.845479image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7412935323 226
 
1.3%
0.7288557214 207
 
1.2%
0.7313432836 206
 
1.2%
0.736318408 205
 
1.2%
0.7388059701 205
 
1.2%
0.7338308458 197
 
1.2%
0.7263681592 197
 
1.2%
0.7064676617 195
 
1.2%
0.723880597 193
 
1.1%
0.7189054726 191
 
1.1%
Other values (284) 9728
57.6%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 11
0.1%
0.131840796 1
 
< 0.1%
0.1368159204 1
 
< 0.1%
0.1393034826 6
< 0.1%
0.1417910448 1
 
< 0.1%
ValueCountFrequency (%)
0.9950248756 1
< 0.1%
0.9900497512 1
< 0.1%
0.9751243781 1
< 0.1%
0.9676616915 2
< 0.1%
0.9651741294 1
< 0.1%

stamina_home_forward
Real number (ℝ)

Distinct227
Distinct (%)1.9%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4993529943
Minimum0
Maximum1
Zeros113
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:30.078405image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2200772201
Q10.2818532819
median0.5212355212
Q30.6254826255
95-th percentile0.8648648649
Maximum1
Range1
Interquartile range (IQR)0.3436293436

Descriptive statistics

Standard deviation0.2203648334
Coefficient of variation (CV)0.441300715
Kurtosis-0.9768571136
Mean0.4993529943
Median Absolute Deviation (MAD)0.2277992278
Skewness0.1953647513
Sum5867.397683
Variance0.04856065981
MonotonicityNot monotonic
2023-05-05T18:09:30.252349image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2625482625 269
 
1.6%
0.2664092664 236
 
1.4%
0.277992278 229
 
1.4%
0.2741312741 203
 
1.2%
0.2818532819 202
 
1.2%
0.2895752896 189
 
1.1%
0.2471042471 188
 
1.1%
0.2702702703 184
 
1.1%
0.2857142857 182
 
1.1%
0.2548262548 181
 
1.1%
Other values (217) 9687
57.3%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 113
0.7%
0.08494208494 1
 
< 0.1%
0.1158301158 1
 
< 0.1%
0.1196911197 6
 
< 0.1%
0.1235521236 5
 
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9961389961 4
< 0.1%
0.9922779923 2
< 0.1%
0.9884169884 4
< 0.1%
0.9845559846 4
< 0.1%

stamina_home_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct65
Distinct (%)0.6%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5303766745
Minimum0
Maximum1
Zeros246
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:30.469352image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2962962963
Q10.4074074074
median0.5308641975
Q30.6419753086
95-th percentile0.8024691358
Maximum1
Range1
Interquartile range (IQR)0.2345679012

Descriptive statistics

Standard deviation0.1663427265
Coefficient of variation (CV)0.3136313011
Kurtosis0.7586610934
Mean0.5303766745
Median Absolute Deviation (MAD)0.1111111111
Skewness-0.3394626778
Sum6231.925926
Variance0.02766990267
MonotonicityNot monotonic
2023-05-05T18:09:30.672333image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3827160494 530
 
3.1%
0.6419753086 518
 
3.1%
0.5308641975 429
 
2.5%
0.6296296296 404
 
2.4%
0.5679012346 397
 
2.3%
0.3950617284 387
 
2.3%
0.4197530864 377
 
2.2%
0.5432098765 369
 
2.2%
0.3703703704 361
 
2.1%
0.6172839506 317
 
1.9%
Other values (55) 7661
45.3%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 246
1.5%
0.1234567901 2
 
< 0.1%
0.1975308642 5
 
< 0.1%
0.2222222222 11
 
0.1%
0.2469135802 30
 
0.2%
ValueCountFrequency (%)
1 8
< 0.1%
0.975308642 13
0.1%
0.962962963 3
 
< 0.1%
0.950617284 10
0.1%
0.9382716049 14
0.1%

stamina_home_midfielder
Real number (ℝ)

Distinct339
Distinct (%)2.9%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.6264800896
Minimum0
Maximum1
Zeros12
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:30.846365image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4252631579
Q10.5115789474
median0.6336842105
Q30.7368421053
95-th percentile0.8315789474
Maximum1
Range1
Interquartile range (IQR)0.2252631579

Descriptive statistics

Standard deviation0.1360280971
Coefficient of variation (CV)0.2171307586
Kurtosis-0.08306893714
Mean0.6264800896
Median Absolute Deviation (MAD)0.1136842105
Skewness-0.3209608719
Sum7361.141053
Variance0.01850364319
MonotonicityNot monotonic
2023-05-05T18:09:31.016339image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6252631579 108
 
0.6%
0.6505263158 105
 
0.6%
0.6526315789 93
 
0.6%
0.6273684211 92
 
0.5%
0.6378947368 92
 
0.5%
0.64 90
 
0.5%
0.6589473684 89
 
0.5%
0.6147368421 88
 
0.5%
0.4673684211 87
 
0.5%
0.6210526316 84
 
0.5%
Other values (329) 10822
64.0%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 12
0.1%
0.08842105263 1
 
< 0.1%
0.1157894737 1
 
< 0.1%
0.1178947368 1
 
< 0.1%
0.1242105263 1
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9789473684 1
< 0.1%
0.9326315789 1
< 0.1%
0.9242105263 2
< 0.1%
0.92 1
< 0.1%

strength_away_defense
Real number (ℝ)

Distinct310
Distinct (%)2.6%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.6857827005
Minimum0
Maximum0.9975786925
Zeros8
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:31.226792image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.5084745763
Q10.6634382567
median0.7094430993
Q30.7433414044
95-th percentile0.784503632
Maximum0.9975786925
Range0.9975786925
Interquartile range (IQR)0.0799031477

Descriptive statistics

Standard deviation0.09810105619
Coefficient of variation (CV)0.143049768
Kurtosis6.846344239
Mean0.6857827005
Median Absolute Deviation (MAD)0.0387409201
Skewness-1.99460453
Sum8057.946731
Variance0.009623817226
MonotonicityNot monotonic
2023-05-05T18:09:31.402736image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7167070218 251
 
1.5%
0.7239709443 243
 
1.4%
0.7263922518 230
 
1.4%
0.7118644068 229
 
1.4%
0.7336561743 228
 
1.3%
0.7288135593 213
 
1.3%
0.7360774818 212
 
1.3%
0.7191283293 207
 
1.2%
0.7384987893 205
 
1.2%
0.7046004843 202
 
1.2%
Other values (300) 9530
56.4%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 8
< 0.1%
0.1234866828 3
 
< 0.1%
0.1283292978 1
 
< 0.1%
0.1307506053 2
 
< 0.1%
0.1331719128 1
 
< 0.1%
ValueCountFrequency (%)
0.9975786925 1
< 0.1%
0.9878934625 1
< 0.1%
0.9830508475 1
< 0.1%
0.9757869249 2
< 0.1%
0.9733656174 2
< 0.1%

strength_away_forward
Real number (ℝ)

Distinct222
Distinct (%)1.9%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4829079097
Minimum0
Maximum1
Zeros108
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:31.596674image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2251908397
Q10.2938931298
median0.5038167939
Q30.6221374046
95-th percentile0.8244274809
Maximum1
Range1
Interquartile range (IQR)0.3282442748

Descriptive statistics

Standard deviation0.2020950561
Coefficient of variation (CV)0.4184960569
Kurtosis-0.9492254176
Mean0.4829079097
Median Absolute Deviation (MAD)0.1946564885
Skewness0.1845032461
Sum5674.167939
Variance0.04084241168
MonotonicityNot monotonic
2023-05-05T18:09:31.792611image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2977099237 289
 
1.7%
0.286259542 204
 
1.2%
0.2748091603 193
 
1.1%
0.2900763359 192
 
1.1%
0.2824427481 188
 
1.1%
0.2671755725 178
 
1.1%
0.2938931298 177
 
1.0%
0.2786259542 175
 
1.0%
0.3129770992 156
 
0.9%
0.3015267176 155
 
0.9%
Other values (212) 9843
58.2%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 108
0.6%
0.09541984733 4
 
< 0.1%
0.1221374046 1
 
< 0.1%
0.1259541985 6
 
< 0.1%
0.1297709924 2
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9809160305 1
< 0.1%
0.9732824427 2
< 0.1%
0.9694656489 1
< 0.1%
0.9580152672 1
< 0.1%

strength_away_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct72
Distinct (%)0.6%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.6752919873
Minimum0
Maximum1
Zeros261
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:32.023538image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4042553191
Q10.6382978723
median0.7021276596
Q30.7659574468
95-th percentile0.8404255319
Maximum1
Range1
Interquartile range (IQR)0.1276595745

Descriptive statistics

Standard deviation0.1524401516
Coefficient of variation (CV)0.2257396125
Kurtosis7.064478592
Mean0.6752919873
Median Absolute Deviation (MAD)0.06382978723
Skewness-2.226837703
Sum7934.680851
Variance0.02323799981
MonotonicityNot monotonic
2023-05-05T18:09:32.200482image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7446808511 618
 
3.7%
0.6914893617 611
 
3.6%
0.7553191489 592
 
3.5%
0.7234042553 576
 
3.4%
0.7659574468 533
 
3.2%
0.7021276596 531
 
3.1%
0.6808510638 531
 
3.1%
0.6595744681 520
 
3.1%
0.7127659574 479
 
2.8%
0.8085106383 395
 
2.3%
Other values (62) 6364
37.7%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 261
1.5%
0.2127659574 11
 
0.1%
0.2234042553 19
 
0.1%
0.2340425532 9
 
0.1%
0.2446808511 5
 
< 0.1%
ValueCountFrequency (%)
1 2
 
< 0.1%
0.9893617021 12
0.1%
0.9680851064 7
< 0.1%
0.9574468085 3
 
< 0.1%
0.9468085106 9
0.1%

strength_away_midfielder
Real number (ℝ)

Distinct328
Distinct (%)2.8%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.6265647347
Minimum0
Maximum1
Zeros6
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:32.377425image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4183908046
Q10.5149425287
median0.6344827586
Q30.7379310345
95-th percentile0.8298850575
Maximum1
Range1
Interquartile range (IQR)0.2229885057

Descriptive statistics

Standard deviation0.1369759276
Coefficient of variation (CV)0.218614167
Kurtosis-0.2037587334
Mean0.6265647347
Median Absolute Deviation (MAD)0.1103448276
Skewness-0.3071956032
Sum7362.135632
Variance0.01876240473
MonotonicityNot monotonic
2023-05-05T18:09:32.564365image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6390804598 100
 
0.6%
0.6229885057 99
 
0.6%
0.6252873563 94
 
0.6%
0.6551724138 88
 
0.5%
0.6505747126 88
 
0.5%
0.5103448276 88
 
0.5%
0.6114942529 85
 
0.5%
0.6528735632 83
 
0.5%
0.6344827586 83
 
0.5%
0.4827586207 83
 
0.5%
Other values (318) 10859
64.3%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 6
< 0.1%
0.1011494253 4
< 0.1%
0.108045977 1
 
< 0.1%
0.1172413793 1
 
< 0.1%
0.1195402299 1
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9655172414 2
< 0.1%
0.9586206897 1
< 0.1%
0.9494252874 1
< 0.1%
0.9448275862 2
< 0.1%

strength_home_defense
Real number (ℝ)

Distinct301
Distinct (%)2.6%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.6726559863
Minimum0
Maximum1
Zeros11
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:32.775351image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4988123515
Q10.6508313539
median0.6959619952
Q30.729216152
95-th percentile0.7719714964
Maximum1
Range1
Interquartile range (IQR)0.0783847981

Descriptive statistics

Standard deviation0.09644194273
Coefficient of variation (CV)0.1433748375
Kurtosis7.385402771
Mean0.6726559863
Median Absolute Deviation (MAD)0.03800475059
Skewness-2.089083792
Sum7903.707838
Variance0.009301048318
MonotonicityNot monotonic
2023-05-05T18:09:32.960801image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7054631829 234
 
1.4%
0.6912114014 228
 
1.3%
0.7078384798 222
 
1.3%
0.7125890736 219
 
1.3%
0.7197149644 217
 
1.3%
0.703087886 215
 
1.3%
0.7102137767 213
 
1.3%
0.7007125891 211
 
1.2%
0.6864608076 208
 
1.2%
0.7173396675 206
 
1.2%
Other values (291) 9577
56.7%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 11
0.1%
0.1211401425 4
 
< 0.1%
0.1235154394 1
 
< 0.1%
0.1258907363 1
 
< 0.1%
0.1282660333 3
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9691211401 2
< 0.1%
0.9643705463 1
< 0.1%
0.9548693587 1
< 0.1%
0.9524940618 1
< 0.1%

strength_home_forward
Real number (ℝ)

Distinct227
Distinct (%)1.9%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4821046233
Minimum0
Maximum0.9962406015
Zeros113
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:33.196726image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2255639098
Q10.2932330827
median0.5037593985
Q30.6165413534
95-th percentile0.8120300752
Maximum0.9962406015
Range0.9962406015
Interquartile range (IQR)0.3233082707

Descriptive statistics

Standard deviation0.1970389636
Coefficient of variation (CV)0.4087058163
Kurtosis-0.8959052563
Mean0.4821046233
Median Absolute Deviation (MAD)0.1879699248
Skewness0.1300110908
Sum5664.729323
Variance0.03882435317
MonotonicityNot monotonic
2023-05-05T18:09:33.439648image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2932330827 238
 
1.4%
0.2819548872 197
 
1.2%
0.2706766917 193
 
1.1%
0.2857142857 191
 
1.1%
0.2781954887 178
 
1.1%
0.2631578947 173
 
1.0%
0.2894736842 170
 
1.0%
0.2969924812 152
 
0.9%
0.2744360902 152
 
0.9%
0.2556390977 144
 
0.9%
Other values (217) 9962
59.0%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 113
0.7%
0.08270676692 1
 
< 0.1%
0.09398496241 1
 
< 0.1%
0.1052631579 2
 
< 0.1%
0.1127819549 2
 
< 0.1%
ValueCountFrequency (%)
0.9962406015 2
< 0.1%
0.962406015 1
< 0.1%
0.9586466165 2
< 0.1%
0.954887218 1
< 0.1%
0.9511278195 1
< 0.1%

strength_home_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct73
Distinct (%)0.6%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.6748347669
Minimum0
Maximum1
Zeros246
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:33.653579image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4042553191
Q10.6276595745
median0.7021276596
Q30.7659574468
95-th percentile0.8404255319
Maximum1
Range1
Interquartile range (IQR)0.1382978723

Descriptive statistics

Standard deviation0.150696181
Coefficient of variation (CV)0.2233082651
Kurtosis7.020137846
Mean0.6748347669
Median Absolute Deviation (MAD)0.06382978723
Skewness-2.193895606
Sum7929.308511
Variance0.02270933897
MonotonicityNot monotonic
2023-05-05T18:09:33.862513image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6914893617 632
 
3.7%
0.7446808511 631
 
3.7%
0.7553191489 570
 
3.4%
0.7234042553 564
 
3.3%
0.7659574468 522
 
3.1%
0.6595744681 514
 
3.0%
0.7021276596 512
 
3.0%
0.6808510638 507
 
3.0%
0.7127659574 437
 
2.6%
0.6382978723 382
 
2.3%
Other values (63) 6479
38.3%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 246
1.5%
0.2127659574 7
 
< 0.1%
0.2234042553 20
 
0.1%
0.2340425532 10
 
0.1%
0.2446808511 7
 
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9893617021 11
0.1%
0.9680851064 10
0.1%
0.9574468085 3
 
< 0.1%
0.9468085106 12
0.1%

strength_home_midfielder
Real number (ℝ)

Distinct322
Distinct (%)2.7%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.6222231352
Minimum0
Maximum1
Zeros12
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:34.088440image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4183908046
Q10.5126436782
median0.6298850575
Q30.7287356322
95-th percentile0.8229885057
Maximum1
Range1
Interquartile range (IQR)0.216091954

Descriptive statistics

Standard deviation0.1344094004
Coefficient of variation (CV)0.2160147909
Kurtosis-0.03560203786
Mean0.6222231352
Median Absolute Deviation (MAD)0.108045977
Skewness-0.3252266296
Sum7311.121839
Variance0.01806588692
MonotonicityNot monotonic
2023-05-05T18:09:34.299374image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6229885057 94
 
0.6%
0.6114942529 93
 
0.6%
0.6482758621 92
 
0.5%
0.6436781609 90
 
0.5%
0.6137931034 89
 
0.5%
0.6735632184 89
 
0.5%
0.6528735632 89
 
0.5%
0.6091954023 88
 
0.5%
0.616091954 87
 
0.5%
0.6183908046 85
 
0.5%
Other values (312) 10854
64.2%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 12
0.1%
0.1011494253 4
 
< 0.1%
0.108045977 1
 
< 0.1%
0.1172413793 2
 
< 0.1%
0.1218390805 2
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9655172414 1
< 0.1%
0.9586206897 1
< 0.1%
0.9563218391 1
< 0.1%
0.9494252874 1
< 0.1%

long_shots_away_defense
Real number (ℝ)

Distinct269
Distinct (%)2.3%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.547110994
Minimum0
Maximum1
Zeros8
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:34.505821image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3157894737
Q10.4643962848
median0.5541795666
Q30.6408668731
95-th percentile0.7523219814
Maximum1
Range1
Interquartile range (IQR)0.1764705882

Descriptive statistics

Standard deviation0.1335862305
Coefficient of variation (CV)0.2441665986
Kurtosis0.2976233986
Mean0.547110994
Median Absolute Deviation (MAD)0.0866873065
Skewness-0.336136621
Sum6428.55418
Variance0.01784528097
MonotonicityNot monotonic
2023-05-05T18:09:34.707757image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5417956656 140
 
0.8%
0.5510835913 136
 
0.8%
0.6377708978 134
 
0.8%
0.6068111455 129
 
0.8%
0.5975232198 128
 
0.8%
0.5356037152 126
 
0.7%
0.6160990712 123
 
0.7%
0.4582043344 121
 
0.7%
0.5263157895 120
 
0.7%
0.6501547988 115
 
0.7%
Other values (259) 10478
62.0%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 8
< 0.1%
0.06191950464 5
< 0.1%
0.06501547988 1
 
< 0.1%
0.06811145511 3
 
< 0.1%
0.0866873065 1
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9473684211 1
< 0.1%
0.9380804954 1
< 0.1%
0.9349845201 1
< 0.1%
0.9287925697 1
< 0.1%

long_shots_away_forward
Real number (ℝ)

Distinct230
Distinct (%)2.0%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4549828517
Minimum0
Maximum0.9776119403
Zeros108
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:34.930686image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2052238806
Q10.2574626866
median0.4570895522
Q30.5895522388
95-th percentile0.8208955224
Maximum0.9776119403
Range0.9776119403
Interquartile range (IQR)0.3320895522

Descriptive statistics

Standard deviation0.2081461783
Coefficient of variation (CV)0.45748137
Kurtosis-0.8616659164
Mean0.4549828517
Median Absolute Deviation (MAD)0.1884328358
Skewness0.3536513539
Sum5346.048507
Variance0.04332483154
MonotonicityNot monotonic
2023-05-05T18:09:35.156613image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2313432836 234
 
1.4%
0.2574626866 231
 
1.4%
0.2388059701 222
 
1.3%
0.2537313433 213
 
1.3%
0.2462686567 196
 
1.2%
0.2350746269 192
 
1.1%
0.2425373134 186
 
1.1%
0.276119403 174
 
1.0%
0.223880597 171
 
1.0%
0.25 168
 
1.0%
Other values (220) 9763
57.8%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 108
0.6%
0.03358208955 4
 
< 0.1%
0.06343283582 1
 
< 0.1%
0.07462686567 1
 
< 0.1%
0.08955223881 1
 
< 0.1%
ValueCountFrequency (%)
0.9776119403 1
 
< 0.1%
0.9664179104 16
0.1%
0.9626865672 5
 
< 0.1%
0.9589552239 5
 
< 0.1%
0.947761194 4
 
< 0.1%

long_shots_away_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct43
Distinct (%)0.4%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.2815777414
Minimum0
Maximum1
Zeros261
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:35.344553image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1230769231
Q10.2
median0.3076923077
Q30.3846153846
95-th percentile0.3846153846
Maximum1
Range1
Interquartile range (IQR)0.1846153846

Descriptive statistics

Standard deviation0.1038684227
Coefficient of variation (CV)0.3688800904
Kurtosis1.630101247
Mean0.2815777414
Median Absolute Deviation (MAD)0.07692307692
Skewness-0.03728039624
Sum3308.538462
Variance0.01078864923
MonotonicityNot monotonic
2023-05-05T18:09:35.511502image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0.3846153846 3399
20.1%
0.2 798
 
4.7%
0.2153846154 771
 
4.6%
0.1692307692 767
 
4.5%
0.1846153846 761
 
4.5%
0.3384615385 723
 
4.3%
0.3230769231 665
 
3.9%
0.3076923077 626
 
3.7%
0.2307692308 382
 
2.3%
0.1538461538 343
 
2.0%
Other values (33) 2515
14.9%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 261
1.5%
0.01538461538 6
 
< 0.1%
0.06153846154 3
 
< 0.1%
0.07692307692 26
 
0.2%
0.09230769231 39
 
0.2%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9846153846 1
 
< 0.1%
0.8615384615 18
0.1%
0.8461538462 1
 
< 0.1%
0.7692307692 1
 
< 0.1%
Distinct361
Distinct (%)3.1%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5975356152
Minimum0
Maximum0.9885583524
Zeros6
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:35.715436image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3661327231
Q10.4782608696
median0.6018306636
Q30.7139588101
95-th percentile0.8421052632
Maximum0.9885583524
Range0.9885583524
Interquartile range (IQR)0.2356979405

Descriptive statistics

Standard deviation0.1520048055
Coefficient of variation (CV)0.254386185
Kurtosis-0.4157516159
Mean0.5975356152
Median Absolute Deviation (MAD)0.118993135
Skewness-0.09286301387
Sum7021.043478
Variance0.02310546091
MonotonicityNot monotonic
2023-05-05T18:09:35.908399image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4805491991 91
 
0.5%
0.6224256293 86
 
0.5%
0.4599542334 83
 
0.5%
0.4324942792 78
 
0.5%
0.4622425629 76
 
0.4%
0.5057208238 76
 
0.4%
0.471395881 75
 
0.4%
0.6681922197 74
 
0.4%
0.4691075515 73
 
0.4%
0.6544622426 73
 
0.4%
Other values (351) 10965
64.9%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 6
< 0.1%
0.05949656751 2
 
< 0.1%
0.0823798627 2
 
< 0.1%
0.09153318078 1
 
< 0.1%
0.1029748284 3
< 0.1%
ValueCountFrequency (%)
0.9885583524 1
 
< 0.1%
0.9725400458 2
< 0.1%
0.9679633867 1
 
< 0.1%
0.9610983982 1
 
< 0.1%
0.9588100686 4
< 0.1%

long_shots_home_defense
Real number (ℝ)

Distinct272
Distinct (%)2.3%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5387500485
Minimum0
Maximum1
Zeros11
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:36.086404image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3130699088
Q10.4589665653
median0.547112462
Q30.6291793313
95-th percentile0.7386018237
Maximum1
Range1
Interquartile range (IQR)0.170212766

Descriptive statistics

Standard deviation0.1296185477
Coefficient of variation (CV)0.2405912501
Kurtosis0.3962185944
Mean0.5387500485
Median Absolute Deviation (MAD)0.08510638298
Skewness-0.3745992654
Sum6330.31307
Variance0.0168009679
MonotonicityNot monotonic
2023-05-05T18:09:36.277390image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5410334347 141
 
0.8%
0.6048632219 140
 
0.8%
0.5653495441 133
 
0.8%
0.5805471125 129
 
0.8%
0.632218845 125
 
0.7%
0.5167173252 125
 
0.7%
0.5319148936 124
 
0.7%
0.5501519757 121
 
0.7%
0.5531914894 120
 
0.7%
0.6382978723 118
 
0.7%
Other values (262) 10474
62.0%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 11
0.1%
0.02431610942 1
 
< 0.1%
0.06079027356 1
 
< 0.1%
0.06382978723 1
 
< 0.1%
0.06686930091 4
 
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.914893617 2
< 0.1%
0.9118541033 1
 
< 0.1%
0.9088145897 2
< 0.1%
0.8996960486 3
< 0.1%

long_shots_home_forward
Real number (ℝ)

Distinct228
Distinct (%)1.9%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4703712847
Minimum0
Maximum1
Zeros113
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:36.483833image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2099236641
Q10.2671755725
median0.4770992366
Q30.606870229
95-th percentile0.8396946565
Maximum1
Range1
Interquartile range (IQR)0.3396946565

Descriptive statistics

Standard deviation0.2107499951
Coefficient of variation (CV)0.4480502997
Kurtosis-0.8457660305
Mean0.4703712847
Median Absolute Deviation (MAD)0.1946564885
Skewness0.3057766339
Sum5526.862595
Variance0.04441556044
MonotonicityNot monotonic
2023-05-05T18:09:36.667775image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2442748092 238
 
1.4%
0.2633587786 211
 
1.2%
0.2366412214 203
 
1.2%
0.2480916031 186
 
1.1%
0.2595419847 175
 
1.0%
0.2557251908 170
 
1.0%
0.2519083969 167
 
1.0%
0.2290076336 163
 
1.0%
0.2824427481 158
 
0.9%
0.2671755725 157
 
0.9%
Other values (218) 9922
58.7%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 113
0.7%
0.03435114504 3
 
< 0.1%
0.07633587786 1
 
< 0.1%
0.08396946565 1
 
< 0.1%
0.1183206107 2
 
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9885496183 11
0.1%
0.9847328244 1
 
< 0.1%
0.9809160305 5
< 0.1%
0.9732824427 2
 
< 0.1%

long_shots_home_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct39
Distinct (%)0.3%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.2864135638
Minimum0
Maximum1
Zeros246
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:36.833723image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.125
Q10.203125
median0.3125
Q30.390625
95-th percentile0.390625
Maximum1
Range1
Interquartile range (IQR)0.1875

Descriptive statistics

Standard deviation0.1049829544
Coefficient of variation (CV)0.3665432356
Kurtosis1.539311267
Mean0.2864135638
Median Absolute Deviation (MAD)0.078125
Skewness-0.02642214648
Sum3365.359375
Variance0.01102142071
MonotonicityNot monotonic
2023-05-05T18:09:37.003666image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0.390625 3380
20.0%
0.1875 790
 
4.7%
0.171875 780
 
4.6%
0.21875 773
 
4.6%
0.203125 771
 
4.6%
0.34375 741
 
4.4%
0.328125 671
 
4.0%
0.3125 656
 
3.9%
0.234375 378
 
2.2%
0.359375 331
 
2.0%
Other values (29) 2479
14.7%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 246
1.5%
0.015625 5
 
< 0.1%
0.0625 2
 
< 0.1%
0.078125 22
 
0.1%
0.09375 47
 
0.3%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.875 19
0.1%
0.734375 14
0.1%
0.71875 2
 
< 0.1%
0.640625 7
 
< 0.1%
Distinct355
Distinct (%)3.0%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5645472967
Minimum0
Maximum1
Zeros12
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:37.207602image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3484848485
Q10.4523809524
median0.5692640693
Q30.6731601732
95-th percentile0.7922077922
Maximum1
Range1
Interquartile range (IQR)0.2207792208

Descriptive statistics

Standard deviation0.1428068227
Coefficient of variation (CV)0.2529581198
Kurtosis-0.3867495267
Mean0.5645472967
Median Absolute Deviation (MAD)0.1125541126
Skewness-0.1005310617
Sum6633.430736
Variance0.0203937886
MonotonicityNot monotonic
2023-05-05T18:09:37.381547image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6103896104 86
 
0.5%
0.5930735931 84
 
0.5%
0.4220779221 81
 
0.5%
0.4090909091 80
 
0.5%
0.512987013 79
 
0.5%
0.5714285714 78
 
0.5%
0.4458874459 77
 
0.5%
0.6125541126 76
 
0.4%
0.5865800866 75
 
0.4%
0.4588744589 74
 
0.4%
Other values (345) 10960
64.9%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 12
0.1%
0.04761904762 2
 
< 0.1%
0.0670995671 1
 
< 0.1%
0.07359307359 2
 
< 0.1%
0.07792207792 2
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9393939394 1
< 0.1%
0.9372294372 1
< 0.1%
0.9242424242 1
< 0.1%
0.9112554113 1
< 0.1%

aggression_away_defense
Real number (ℝ)

Distinct303
Distinct (%)2.6%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.6795373651
Minimum0
Maximum1
Zeros8
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:37.557490image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4876847291
Q10.6354679803
median0.7044334975
Q30.7487684729
95-th percentile0.8004926108
Maximum1
Range1
Interquartile range (IQR)0.1133004926

Descriptive statistics

Standard deviation0.1065449237
Coefficient of variation (CV)0.156790383
Kurtosis4.414941161
Mean0.6795373651
Median Absolute Deviation (MAD)0.05172413793
Skewness-1.57657672
Sum7984.564039
Variance0.01135182077
MonotonicityNot monotonic
2023-05-05T18:09:37.730435image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7192118227 184
 
1.1%
0.7118226601 177
 
1.0%
0.7463054187 177
 
1.0%
0.7561576355 177
 
1.0%
0.7142857143 176
 
1.0%
0.736453202 173
 
1.0%
0.6748768473 167
 
1.0%
0.7044334975 166
 
1.0%
0.7266009852 162
 
1.0%
0.7512315271 162
 
1.0%
Other values (293) 10029
59.4%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 8
< 0.1%
0.1231527094 3
 
< 0.1%
0.1280788177 2
 
< 0.1%
0.1305418719 2
 
< 0.1%
0.1354679803 1
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9926108374 1
< 0.1%
0.9901477833 1
< 0.1%
0.9753694581 1
< 0.1%
0.9729064039 2
< 0.1%

aggression_away_forward
Real number (ℝ)

Distinct226
Distinct (%)1.9%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4318893617
Minimum0
Maximum1
Zeros108
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:37.908406image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.164
Q10.26
median0.428
Q30.572
95-th percentile0.776
Maximum1
Range1
Interquartile range (IQR)0.312

Descriptive statistics

Standard deviation0.196028815
Coefficient of variation (CV)0.4538866486
Kurtosis-0.7409689009
Mean0.4318893617
Median Absolute Deviation (MAD)0.156
Skewness0.3043275515
Sum5074.7
Variance0.0384272963
MonotonicityNot monotonic
2023-05-05T18:09:38.083511image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.26 177
 
1.0%
0.248 171
 
1.0%
0.252 160
 
0.9%
0.28 153
 
0.9%
0.236 146
 
0.9%
0.276 140
 
0.8%
0.228 136
 
0.8%
0.3 134
 
0.8%
0.256 133
 
0.8%
0.22 126
 
0.7%
Other values (216) 10274
60.8%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 108
0.6%
0.068 2
 
< 0.1%
0.08 4
 
< 0.1%
0.084 2
 
< 0.1%
0.088 5
 
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.992 1
 
< 0.1%
0.98 5
< 0.1%
0.976 1
 
< 0.1%
0.968 2
 
< 0.1%

aggression_away_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct75
Distinct (%)0.6%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4260119531
Minimum0
Maximum1
Zeros261
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:38.265453image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.191011236
Q10.2808988764
median0.393258427
Q30.5393258427
95-th percentile0.7528089888
Maximum1
Range1
Interquartile range (IQR)0.2584269663

Descriptive statistics

Standard deviation0.1812425608
Coefficient of variation (CV)0.4254400832
Kurtosis-0.0839871585
Mean0.4260119531
Median Absolute Deviation (MAD)0.1123595506
Skewness0.398431952
Sum5005.640449
Variance0.03284886584
MonotonicityNot monotonic
2023-05-05T18:09:38.435450image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2808988764 647
 
3.8%
0.3483146067 583
 
3.5%
0.2584269663 407
 
2.4%
0.4494382022 365
 
2.2%
0.3820224719 365
 
2.2%
0.2471910112 354
 
2.1%
0.4269662921 339
 
2.0%
0.3146067416 311
 
1.8%
0.4157303371 310
 
1.8%
0.4719101124 294
 
1.7%
Other values (65) 7775
46.0%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 261
1.5%
0.1123595506 1
 
< 0.1%
0.1235955056 31
 
0.2%
0.1348314607 41
 
0.2%
0.1460674157 4
 
< 0.1%
ValueCountFrequency (%)
1 6
 
< 0.1%
0.9438202247 27
0.2%
0.9325842697 11
0.1%
0.9213483146 1
 
< 0.1%
0.9101123596 23
0.1%
Distinct350
Distinct (%)3.0%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.6053380507
Minimum0
Maximum0.9703872437
Zeros6
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:38.608449image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3895216401
Q10.5034168565
median0.6082004556
Q30.708428246
95-th percentile0.8246013667
Maximum0.9703872437
Range0.9703872437
Interquartile range (IQR)0.2050113895

Descriptive statistics

Standard deviation0.1377893578
Coefficient of variation (CV)0.2276238173
Kurtosis-0.05956714753
Mean0.6053380507
Median Absolute Deviation (MAD)0.1025056948
Skewness-0.2020380945
Sum7112.722096
Variance0.01898590713
MonotonicityNot monotonic
2023-05-05T18:09:38.782418image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5239179954 89
 
0.5%
0.4851936219 85
 
0.5%
0.6560364465 84
 
0.5%
0.6082004556 84
 
0.5%
0.6241457859 82
 
0.5%
0.5945330296 80
 
0.5%
0.4738041002 80
 
0.5%
0.6674259681 79
 
0.5%
0.5193621868 79
 
0.5%
0.5284738041 77
 
0.5%
Other values (340) 10931
64.7%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 6
< 0.1%
0.07972665148 3
< 0.1%
0.08428246014 1
 
< 0.1%
0.09339407745 3
< 0.1%
0.09567198178 1
 
< 0.1%
ValueCountFrequency (%)
0.9703872437 2
< 0.1%
0.9681093394 1
< 0.1%
0.9589977221 1
< 0.1%
0.9567198178 1
< 0.1%
0.9544419134 1
< 0.1%

aggression_home_defense
Real number (ℝ)

Distinct308
Distinct (%)2.6%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.6680236979
Minimum0
Maximum0.9830508475
Zeros11
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:38.960444image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4794188862
Q10.6271186441
median0.6924939467
Q30.7360774818
95-th percentile0.7869249395
Maximum0.9830508475
Range0.9830508475
Interquartile range (IQR)0.1089588378

Descriptive statistics

Standard deviation0.1050049093
Coefficient of variation (CV)0.1571874016
Kurtosis4.789954773
Mean0.6680236979
Median Absolute Deviation (MAD)0.05084745763
Skewness-1.649055921
Sum7849.27845
Variance0.01102603097
MonotonicityNot monotonic
2023-05-05T18:09:39.142431image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7457627119 186
 
1.1%
0.7021791768 181
 
1.1%
0.7191283293 179
 
1.1%
0.7142857143 176
 
1.0%
0.7167070218 175
 
1.0%
0.7070217918 172
 
1.0%
0.7312348668 167
 
1.0%
0.7239709443 167
 
1.0%
0.6997578692 166
 
1.0%
0.7336561743 166
 
1.0%
Other values (298) 10015
59.3%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 11
0.1%
0.1065375303 1
 
< 0.1%
0.1162227603 1
 
< 0.1%
0.1210653753 4
 
< 0.1%
0.1259079903 3
 
< 0.1%
ValueCountFrequency (%)
0.9830508475 1
 
< 0.1%
0.98062954 1
 
< 0.1%
0.9661016949 1
 
< 0.1%
0.9564164649 2
< 0.1%
0.9515738499 3
< 0.1%

aggression_home_forward
Real number (ℝ)

Distinct227
Distinct (%)1.9%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4227006432
Minimum0
Maximum0.996124031
Zeros113
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:39.363456image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1627906977
Q10.2596899225
median0.4224806202
Q30.5542635659
95-th percentile0.7519379845
Maximum0.996124031
Range0.996124031
Interquartile range (IQR)0.2945736434

Descriptive statistics

Standard deviation0.1882400914
Coefficient of variation (CV)0.4453271941
Kurtosis-0.6707318461
Mean0.4227006432
Median Absolute Deviation (MAD)0.1511627907
Skewness0.2715113205
Sum4966.732558
Variance0.035434332
MonotonicityNot monotonic
2023-05-05T18:09:40.592481image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2519379845 179
 
1.1%
0.2403100775 161
 
1.0%
0.2286821705 142
 
0.8%
0.2441860465 142
 
0.8%
0.2713178295 133
 
0.8%
0.2480620155 133
 
0.8%
0.2325581395 127
 
0.8%
0.2906976744 123
 
0.7%
0.2829457364 122
 
0.7%
0.2209302326 122
 
0.7%
Other values (217) 10366
61.3%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 113
0.7%
0.06589147287 3
 
< 0.1%
0.07751937984 3
 
< 0.1%
0.08139534884 6
 
< 0.1%
0.08527131783 2
 
< 0.1%
ValueCountFrequency (%)
0.996124031 1
< 0.1%
0.980620155 2
< 0.1%
0.9612403101 1
< 0.1%
0.9496124031 2
< 0.1%
0.9418604651 1
< 0.1%

aggression_home_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct75
Distinct (%)0.6%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4308639732
Minimum0
Maximum1
Zeros246
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:40.811504image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.202247191
Q10.2921348315
median0.404494382
Q30.5505617978
95-th percentile0.7640449438
Maximum1
Range1
Interquartile range (IQR)0.2584269663

Descriptive statistics

Standard deviation0.1815029051
Coefficient of variation (CV)0.4212533801
Kurtosis-0.1579537928
Mean0.4308639732
Median Absolute Deviation (MAD)0.1235955056
Skewness0.3764707406
Sum5062.651685
Variance0.03294330455
MonotonicityNot monotonic
2023-05-05T18:09:41.025435image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2808988764 633
 
3.7%
0.3483146067 583
 
3.5%
0.2584269663 400
 
2.4%
0.4494382022 378
 
2.2%
0.2471910112 377
 
2.2%
0.3820224719 374
 
2.2%
0.4269662921 342
 
2.0%
0.3146067416 315
 
1.9%
0.3370786517 304
 
1.8%
0.4719101124 297
 
1.8%
Other values (65) 7747
45.8%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 246
1.5%
0.1235955056 24
 
0.1%
0.1348314607 33
 
0.2%
0.1460674157 12
 
0.1%
0.1573033708 19
 
0.1%
ValueCountFrequency (%)
1 2
 
< 0.1%
0.9550561798 2
 
< 0.1%
0.9438202247 32
0.2%
0.9325842697 14
0.1%
0.9213483146 1
 
< 0.1%
Distinct340
Distinct (%)2.9%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.6185082409
Minimum0
Maximum1
Zeros12
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:41.231877image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3990610329
Q10.5164319249
median0.6244131455
Q30.720657277
95-th percentile0.838028169
Maximum1
Range1
Interquartile range (IQR)0.2042253521

Descriptive statistics

Standard deviation0.1397674921
Coefficient of variation (CV)0.2259751493
Kurtosis0.07055908771
Mean0.6185082409
Median Absolute Deviation (MAD)0.103286385
Skewness-0.2342581382
Sum7267.471831
Variance0.01953495184
MonotonicityNot monotonic
2023-05-05T18:09:41.426815image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7018779343 92
 
0.5%
0.6549295775 91
 
0.5%
0.6807511737 88
 
0.5%
0.5985915493 87
 
0.5%
0.6572769953 84
 
0.5%
0.70657277 83
 
0.5%
0.5046948357 82
 
0.5%
0.6197183099 82
 
0.5%
0.514084507 81
 
0.5%
0.5962441315 80
 
0.5%
Other values (330) 10900
64.5%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 12
0.1%
0.08215962441 1
 
< 0.1%
0.08685446009 3
 
< 0.1%
0.09624413146 2
 
< 0.1%
0.117370892 4
 
< 0.1%
ValueCountFrequency (%)
1 2
< 0.1%
0.9765258216 1
< 0.1%
0.9741784038 1
< 0.1%
0.9694835681 1
< 0.1%
0.9671361502 1
< 0.1%
Distinct306
Distinct (%)2.6%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.6696967275
Minimum0
Maximum0.9949238579
Zeros8
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:41.629750image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4593908629
Q10.614213198
median0.6878172589
Q30.7436548223
95-th percentile0.8147208122
Maximum0.9949238579
Range0.9949238579
Interquartile range (IQR)0.1294416244

Descriptive statistics

Standard deviation0.1138230958
Coefficient of variation (CV)0.1699621502
Kurtosis3.242756094
Mean0.6696967275
Median Absolute Deviation (MAD)0.06345177665
Skewness-1.299667665
Sum7868.936548
Variance0.01295569714
MonotonicityNot monotonic
2023-05-05T18:09:41.818690image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6675126904 165
 
1.0%
0.730964467 165
 
1.0%
0.7258883249 151
 
0.9%
0.7157360406 148
 
0.9%
0.7182741117 146
 
0.9%
0.7081218274 144
 
0.9%
0.7436548223 143
 
0.8%
0.7335025381 142
 
0.8%
0.7208121827 142
 
0.8%
0.6878172589 140
 
0.8%
Other values (296) 10264
60.7%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 8
< 0.1%
0.08375634518 3
 
< 0.1%
0.1040609137 2
 
< 0.1%
0.1269035533 1
 
< 0.1%
0.1345177665 3
 
< 0.1%
ValueCountFrequency (%)
0.9949238579 1
< 0.1%
0.9898477157 1
< 0.1%
0.9873096447 2
< 0.1%
0.9847715736 1
< 0.1%
0.9695431472 1
< 0.1%
Distinct238
Distinct (%)2.0%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.3019739299
Minimum0
Maximum1
Zeros108
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:42.036620image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.08695652174
Q10.1581027668
median0.2687747036
Q30.4150197628
95-th percentile0.6086956522
Maximum1
Range1
Interquartile range (IQR)0.256916996

Descriptive statistics

Standard deviation0.1788077241
Coefficient of variation (CV)0.5921296721
Kurtosis0.8148232209
Mean0.3019739299
Median Absolute Deviation (MAD)0.1264822134
Skewness0.9305918183
Sum3548.193676
Variance0.03197220219
MonotonicityNot monotonic
2023-05-05T18:09:42.235556image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.09881422925 281
 
1.7%
0.162055336 224
 
1.3%
0.1225296443 179
 
1.1%
0.1067193676 159
 
0.9%
0.1264822134 157
 
0.9%
0.1146245059 151
 
0.9%
0.1383399209 148
 
0.9%
0.09486166008 146
 
0.9%
0.2608695652 143
 
0.8%
0.08300395257 141
 
0.8%
Other values (228) 10021
59.3%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 108
0.6%
0.04347826087 15
 
0.1%
0.04743083004 12
 
0.1%
0.05138339921 12
 
0.1%
0.05533596838 15
 
0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9920948617 1
 
< 0.1%
0.9881422925 2
 
< 0.1%
0.9841897233 3
< 0.1%
0.9723320158 5
< 0.1%

interceptions_away_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct80
Distinct (%)0.7%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.3195763593
Minimum0
Maximum1
Zeros261
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:42.422497image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1555555556
Q10.2333333333
median0.2666666667
Q30.3
95-th percentile0.7333333333
Maximum1
Range1
Interquartile range (IQR)0.06666666667

Descriptive statistics

Standard deviation0.1773947001
Coefficient of variation (CV)0.555093313
Kurtosis2.089353598
Mean0.3195763593
Median Absolute Deviation (MAD)0.03333333333
Skewness1.599934848
Sum3755.022222
Variance0.03146887961
MonotonicityNot monotonic
2023-05-05T18:09:42.611462image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2777777778 1918
 
11.4%
0.2444444444 1395
 
8.3%
0.2333333333 1348
 
8.0%
0.2555555556 1009
 
6.0%
0.2666666667 796
 
4.7%
0.2222222222 588
 
3.5%
0.3 273
 
1.6%
0 261
 
1.5%
0.2888888889 243
 
1.4%
0.2111111111 194
 
1.1%
Other values (70) 3725
22.0%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 261
1.5%
0.06666666667 1
 
< 0.1%
0.07777777778 13
 
0.1%
0.08888888889 2
 
< 0.1%
0.1 5
 
< 0.1%
ValueCountFrequency (%)
1 18
0.1%
0.9777777778 6
 
< 0.1%
0.9666666667 21
0.1%
0.9111111111 9
0.1%
0.9 21
0.1%
Distinct359
Distinct (%)3.1%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5589010859
Minimum0
Maximum0.9930715935
Zeros6
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:42.842473image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3556581986
Q10.4688221709
median0.5542725173
Q30.648960739
95-th percentile0.7818706697
Maximum0.9930715935
Range0.9930715935
Interquartile range (IQR)0.1801385681

Descriptive statistics

Standard deviation0.1307894439
Coefficient of variation (CV)0.2340117907
Kurtosis0.241043911
Mean0.5589010859
Median Absolute Deviation (MAD)0.09006928406
Skewness0.03069649428
Sum6567.08776
Variance0.01710587865
MonotonicityNot monotonic
2023-05-05T18:09:43.033463image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5265588915 103
 
0.6%
0.5542725173 99
 
0.6%
0.4595842956 97
 
0.6%
0.5565819861 97
 
0.6%
0.545034642 96
 
0.6%
0.5011547344 96
 
0.6%
0.5381062356 91
 
0.5%
0.558891455 90
 
0.5%
0.6304849885 90
 
0.5%
0.5311778291 89
 
0.5%
Other values (349) 10802
63.9%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 6
< 0.1%
0.06466512702 1
 
< 0.1%
0.06697459584 1
 
< 0.1%
0.09699769053 2
 
< 0.1%
0.1016166282 1
 
< 0.1%
ValueCountFrequency (%)
0.9930715935 1
< 0.1%
0.9722863741 1
< 0.1%
0.9699769053 1
< 0.1%
0.9676674365 1
< 0.1%
0.9584295612 1
< 0.1%
Distinct302
Distinct (%)2.6%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.6707619512
Minimum0
Maximum1
Zeros11
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:43.220503image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4580152672
Q10.6157760814
median0.6921119593
Q30.7480916031
95-th percentile0.8142493639
Maximum1
Range1
Interquartile range (IQR)0.1323155216

Descriptive statistics

Standard deviation0.1147889108
Coefficient of variation (CV)0.1711321141
Kurtosis3.534791122
Mean0.6707619512
Median Absolute Deviation (MAD)0.06361323155
Skewness-1.377488103
Sum7881.452926
Variance0.01317649404
MonotonicityNot monotonic
2023-05-05T18:09:43.405530image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7124681934 160
 
0.9%
0.7430025445 156
 
0.9%
0.737913486 152
 
0.9%
0.7175572519 148
 
0.9%
0.6921119593 147
 
0.9%
0.7353689567 147
 
0.9%
0.7328244275 144
 
0.9%
0.6692111959 143
 
0.8%
0.7099236641 142
 
0.8%
0.7226463104 141
 
0.8%
Other values (292) 10270
60.8%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 11
0.1%
0.08396946565 4
 
< 0.1%
0.1043256997 3
 
< 0.1%
0.106870229 1
 
< 0.1%
0.1094147583 2
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9974554707 1
< 0.1%
0.989821883 2
< 0.1%
0.9821882952 2
< 0.1%
0.9770992366 2
< 0.1%
Distinct238
Distinct (%)2.0%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.3058011359
Minimum0
Maximum1
Zeros113
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:43.587472image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.08764940239
Q10.1593625498
median0.2749003984
Q30.4183266932
95-th percentile0.6135458167
Maximum1
Range1
Interquartile range (IQR)0.2589641434

Descriptive statistics

Standard deviation0.1801319862
Coefficient of variation (CV)0.5890494348
Kurtosis0.8120182672
Mean0.3058011359
Median Absolute Deviation (MAD)0.1235059761
Skewness0.9252211466
Sum3593.163347
Variance0.03244753247
MonotonicityNot monotonic
2023-05-05T18:09:43.761478image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.09960159363 288
 
1.7%
0.1633466135 214
 
1.3%
0.1235059761 201
 
1.2%
0.1274900398 164
 
1.0%
0.09561752988 161
 
1.0%
0.1593625498 152
 
0.9%
0.1314741036 144
 
0.9%
0.2709163347 143
 
0.8%
0.1075697211 136
 
0.8%
0.1155378486 134
 
0.8%
Other values (228) 10013
59.3%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 113
0.7%
0.003984063745 1
 
< 0.1%
0.0438247012 17
 
0.1%
0.04780876494 7
 
< 0.1%
0.05179282869 8
 
< 0.1%
ValueCountFrequency (%)
1 2
< 0.1%
0.9960159363 3
< 0.1%
0.9920318725 2
< 0.1%
0.9800796813 3
< 0.1%
0.9760956175 4
< 0.1%

interceptions_home_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct80
Distinct (%)0.7%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.320643026
Minimum0
Maximum1
Zeros246
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:43.940482image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1666666667
Q10.2333333333
median0.2666666667
Q30.3
95-th percentile0.7333333333
Maximum1
Range1
Interquartile range (IQR)0.06666666667

Descriptive statistics

Standard deviation0.1772567171
Coefficient of variation (CV)0.5528163807
Kurtosis2.108775611
Mean0.320643026
Median Absolute Deviation (MAD)0.03333333333
Skewness1.611236958
Sum3767.555556
Variance0.03141994377
MonotonicityNot monotonic
2023-05-05T18:09:44.113465image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2777777778 1926
 
11.4%
0.2444444444 1356
 
8.0%
0.2333333333 1340
 
7.9%
0.2555555556 1019
 
6.0%
0.2666666667 754
 
4.5%
0.2222222222 611
 
3.6%
0.3 308
 
1.8%
0.2888888889 246
 
1.5%
0 246
 
1.5%
0.1777777778 212
 
1.3%
Other values (70) 3732
22.1%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 246
1.5%
0.06666666667 3
 
< 0.1%
0.07777777778 15
 
0.1%
0.08888888889 1
 
< 0.1%
0.1 3
 
< 0.1%
ValueCountFrequency (%)
1 13
0.1%
0.9777777778 5
 
< 0.1%
0.9666666667 24
0.1%
0.9111111111 14
0.1%
0.9 23
0.1%
Distinct354
Distinct (%)3.0%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5540956218
Minimum0
Maximum1
Zeros12
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:44.347528image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3556581986
Q10.4665127021
median0.5496535797
Q30.6397228637
95-th percentile0.7736720554
Maximum1
Range1
Interquartile range (IQR)0.1732101617

Descriptive statistics

Standard deviation0.1290668684
Coefficient of variation (CV)0.2329324819
Kurtosis0.3625724217
Mean0.5540956218
Median Absolute Deviation (MAD)0.08775981524
Skewness0.04626727955
Sum6510.623557
Variance0.01665825651
MonotonicityNot monotonic
2023-05-05T18:09:44.516496image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5173210162 105
 
0.6%
0.4965357968 104
 
0.6%
0.5542725173 102
 
0.6%
0.5011547344 101
 
0.6%
0.5612009238 98
 
0.6%
0.519630485 94
 
0.6%
0.5473441109 94
 
0.6%
0.5796766744 93
 
0.6%
0.545034642 93
 
0.6%
0.6050808314 92
 
0.5%
Other values (344) 10774
63.8%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 12
0.1%
0.07621247113 1
 
< 0.1%
0.08083140878 2
 
< 0.1%
0.09930715935 1
 
< 0.1%
0.1016166282 1
 
< 0.1%
ValueCountFrequency (%)
1 2
< 0.1%
0.9930715935 1
< 0.1%
0.9861431871 1
< 0.1%
0.9699769053 1
< 0.1%
0.96073903 1
< 0.1%

positioning_away_defense
Real number (ℝ)

Distinct309
Distinct (%)2.6%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5219524136
Minimum0
Maximum1
Zeros8
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:44.689480image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2956989247
Q10.435483871
median0.5107526882
Q30.5961021505
95-th percentile0.7903225806
Maximum1
Range1
Interquartile range (IQR)0.1606182796

Descriptive statistics

Standard deviation0.1404060851
Coefficient of variation (CV)0.2690016972
Kurtosis0.2659481194
Mean0.5219524136
Median Absolute Deviation (MAD)0.07795698925
Skewness0.2717941236
Sum6132.94086
Variance0.01971386874
MonotonicityNot monotonic
2023-05-05T18:09:44.861492image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5107526882 155
 
0.9%
0.5241935484 141
 
0.8%
0.5268817204 130
 
0.8%
0.5510752688 121
 
0.7%
0.4946236559 119
 
0.7%
0.5215053763 117
 
0.7%
0.497311828 117
 
0.7%
0.502688172 115
 
0.7%
0.4811827957 114
 
0.7%
0.5161290323 113
 
0.7%
Other values (299) 10508
62.2%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 8
< 0.1%
0.06182795699 1
 
< 0.1%
0.07795698925 1
 
< 0.1%
0.08602150538 1
 
< 0.1%
0.08870967742 1
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9865591398 1
< 0.1%
0.9838709677 1
< 0.1%
0.938172043 1
< 0.1%
0.935483871 1
< 0.1%

positioning_away_forward
Real number (ℝ)

Distinct245
Distinct (%)2.1%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4881197794
Minimum0
Maximum1
Zeros108
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:45.034494image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2259259259
Q10.2851851852
median0.4925925926
Q30.6259259259
95-th percentile0.8592592593
Maximum1
Range1
Interquartile range (IQR)0.3407407407

Descriptive statistics

Standard deviation0.2164426151
Coefficient of variation (CV)0.4434211115
Kurtosis-0.9121012526
Mean0.4881197794
Median Absolute Deviation (MAD)0.1962962963
Skewness0.3038445021
Sum5735.407407
Variance0.04684740564
MonotonicityNot monotonic
2023-05-05T18:09:45.205473image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2814814815 245
 
1.4%
0.2740740741 219
 
1.3%
0.3 210
 
1.2%
0.2777777778 207
 
1.2%
0.2851851852 193
 
1.1%
0.2888888889 179
 
1.1%
0.2666666667 168
 
1.0%
0.3111111111 164
 
1.0%
0.262962963 150
 
0.9%
0.2518518519 144
 
0.9%
Other values (235) 9871
58.4%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 108
0.6%
0.03703703704 4
 
< 0.1%
0.08888888889 1
 
< 0.1%
0.09259259259 1
 
< 0.1%
0.1 3
 
< 0.1%
ValueCountFrequency (%)
1 6
 
< 0.1%
0.9962962963 4
 
< 0.1%
0.9925925926 6
 
< 0.1%
0.9888888889 15
0.1%
0.9851851852 5
 
< 0.1%

positioning_away_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct78
Distinct (%)0.7%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.2553617021
Minimum0
Maximum1
Zeros261
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:45.386498image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1046511628
Q10.1395348837
median0.2093023256
Q30.2906976744
95-th percentile0.6627906977
Maximum1
Range1
Interquartile range (IQR)0.1511627907

Descriptive statistics

Standard deviation0.16964458
Coefficient of variation (CV)0.6643305501
Kurtosis3.552834611
Mean0.2553617021
Median Absolute Deviation (MAD)0.08139534884
Skewness1.819080525
Sum3000.5
Variance0.02877928354
MonotonicityNot monotonic
2023-05-05T18:09:45.564517image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2906976744 3356
19.9%
0.1395348837 1099
 
6.5%
0.1279069767 837
 
5.0%
0.1511627907 808
 
4.8%
0.1162790698 685
 
4.1%
0.1744186047 622
 
3.7%
0.1627906977 574
 
3.4%
0.1860465116 399
 
2.4%
0.2093023256 296
 
1.8%
0 261
 
1.5%
Other values (68) 2813
16.6%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 261
1.5%
0.02325581395 7
 
< 0.1%
0.04651162791 13
 
0.1%
0.05813953488 36
 
0.2%
0.06976744186 37
 
0.2%
ValueCountFrequency (%)
1 25
0.1%
0.988372093 5
 
< 0.1%
0.9651162791 1
 
< 0.1%
0.9534883721 6
 
< 0.1%
0.9069767442 4
 
< 0.1%
Distinct358
Distinct (%)3.0%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5777946185
Minimum0
Maximum0.9522776573
Zeros6
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:45.740508image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3535791757
Q10.4620390456
median0.5824295011
Q30.6919739696
95-th percentile0.8026030369
Maximum0.9522776573
Range0.9522776573
Interquartile range (IQR)0.2299349241

Descriptive statistics

Standard deviation0.1454554479
Coefficient of variation (CV)0.251742476
Kurtosis-0.4790221593
Mean0.5777946185
Median Absolute Deviation (MAD)0.1138828633
Skewness-0.1597548736
Sum6789.086768
Variance0.02115728733
MonotonicityNot monotonic
2023-05-05T18:09:45.937499image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5813449024 80
 
0.5%
0.6203904555 79
 
0.5%
0.4490238612 77
 
0.5%
0.546637744 71
 
0.4%
0.5878524946 71
 
0.4%
0.5770065076 71
 
0.4%
0.6659436009 70
 
0.4%
0.3904555315 70
 
0.4%
0.7310195228 70
 
0.4%
0.6052060738 69
 
0.4%
Other values (348) 11022
65.2%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 6
< 0.1%
0.09544468547 5
< 0.1%
0.09978308026 1
 
< 0.1%
0.1019522777 1
 
< 0.1%
0.1062906725 3
< 0.1%
ValueCountFrequency (%)
0.9522776573 1
< 0.1%
0.9501084599 1
< 0.1%
0.9414316703 1
< 0.1%
0.9370932755 2
< 0.1%
0.9240780911 1
< 0.1%

positioning_home_defense
Real number (ℝ)

Distinct309
Distinct (%)2.6%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.527176457
Minimum0
Maximum1
Zeros11
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:46.113524image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3043478261
Q10.4429347826
median0.5163043478
Q30.597826087
95-th percentile0.7907608696
Maximum1
Range1
Interquartile range (IQR)0.1548913043

Descriptive statistics

Standard deviation0.1396140377
Coefficient of variation (CV)0.2648335977
Kurtosis0.4095526013
Mean0.527176457
Median Absolute Deviation (MAD)0.07880434783
Skewness0.2468546353
Sum6194.32337
Variance0.01949207952
MonotonicityNot monotonic
2023-05-05T18:09:46.284500image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5163043478 136
 
0.8%
0.5135869565 134
 
0.8%
0.4945652174 131
 
0.8%
0.4891304348 131
 
0.8%
0.5326086957 131
 
0.8%
0.5298913043 127
 
0.8%
0.5380434783 122
 
0.7%
0.4565217391 122
 
0.7%
0.5027173913 121
 
0.7%
0.4836956522 120
 
0.7%
Other values (299) 10475
62.0%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 11
0.1%
0.04891304348 1
 
< 0.1%
0.05434782609 1
 
< 0.1%
0.0597826087 2
 
< 0.1%
0.08967391304 2
 
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9755434783 1
 
< 0.1%
0.9592391304 1
 
< 0.1%
0.9483695652 4
< 0.1%
0.9402173913 2
< 0.1%

positioning_home_forward
Real number (ℝ)

Distinct243
Distinct (%)2.1%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4943946414
Minimum0
Maximum1
Zeros113
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:46.458522image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2296296296
Q10.2888888889
median0.5037037037
Q30.6296296296
95-th percentile0.8592592593
Maximum1
Range1
Interquartile range (IQR)0.3407407407

Descriptive statistics

Standard deviation0.2137699617
Coefficient of variation (CV)0.432387295
Kurtosis-0.88828895
Mean0.4943946414
Median Absolute Deviation (MAD)0.2
Skewness0.2503310413
Sum5809.137037
Variance0.04569759651
MonotonicityNot monotonic
2023-05-05T18:09:46.629524image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2814814815 234
 
1.4%
0.2777777778 228
 
1.3%
0.2740740741 208
 
1.2%
0.2851851852 194
 
1.1%
0.3 184
 
1.1%
0.3111111111 175
 
1.0%
0.2666666667 172
 
1.0%
0.2888888889 172
 
1.0%
0.3037037037 159
 
0.9%
0.262962963 157
 
0.9%
Other values (233) 9867
58.4%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 113
0.7%
0.02962962963 1
 
< 0.1%
0.03703703704 2
 
< 0.1%
0.1037037037 1
 
< 0.1%
0.1074074074 1
 
< 0.1%
ValueCountFrequency (%)
1 3
 
< 0.1%
0.9962962963 3
 
< 0.1%
0.9925925926 5
< 0.1%
0.9888888889 11
0.1%
0.9851851852 2
 
< 0.1%

positioning_home_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct78
Distinct (%)0.7%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.2568758041
Minimum0
Maximum1
Zeros246
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:46.802526image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1162790698
Q10.1395348837
median0.2093023256
Q30.2906976744
95-th percentile0.6744186047
Maximum1
Range1
Interquartile range (IQR)0.1511627907

Descriptive statistics

Standard deviation0.1713295351
Coefficient of variation (CV)0.6669742046
Kurtosis3.497139932
Mean0.2568758041
Median Absolute Deviation (MAD)0.08139534884
Skewness1.823334858
Sum3018.290698
Variance0.0293538096
MonotonicityNot monotonic
2023-05-05T18:09:46.978508image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2906976744 3340
19.8%
0.1395348837 1080
 
6.4%
0.1279069767 881
 
5.2%
0.1511627907 755
 
4.5%
0.1162790698 691
 
4.1%
0.1744186047 652
 
3.9%
0.1627906977 596
 
3.5%
0.1860465116 399
 
2.4%
0.2093023256 304
 
1.8%
0 246
 
1.5%
Other values (68) 2806
16.6%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 246
1.5%
0.02325581395 6
 
< 0.1%
0.04651162791 13
 
0.1%
0.05813953488 23
 
0.1%
0.06976744186 35
 
0.2%
ValueCountFrequency (%)
1 29
0.2%
0.988372093 5
 
< 0.1%
0.9534883721 5
 
< 0.1%
0.9069767442 10
 
0.1%
0.8837209302 54
0.3%
Distinct357
Distinct (%)3.0%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5568487492
Minimum0
Maximum1
Zeros12
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:47.261988image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3451882845
Q10.4456066946
median0.5627615063
Q30.6652719665
95-th percentile0.7719665272
Maximum1
Range1
Interquartile range (IQR)0.219665272

Descriptive statistics

Standard deviation0.1397068161
Coefficient of variation (CV)0.2508882642
Kurtosis-0.4414681886
Mean0.5568487492
Median Absolute Deviation (MAD)0.1108786611
Skewness-0.1526088716
Sum6542.972803
Variance0.01951799447
MonotonicityNot monotonic
2023-05-05T18:09:47.448929image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4560669456 83
 
0.5%
0.629707113 77
 
0.5%
0.6359832636 76
 
0.4%
0.5627615063 76
 
0.4%
0.5711297071 73
 
0.4%
0.5920502092 71
 
0.4%
0.4330543933 70
 
0.4%
0.4581589958 70
 
0.4%
0.3933054393 70
 
0.4%
0.5543933054 70
 
0.4%
Other values (347) 11014
65.2%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 12
0.1%
0.06276150628 1
 
< 0.1%
0.08786610879 2
 
< 0.1%
0.09205020921 3
 
< 0.1%
0.09832635983 1
 
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9707112971 1
 
< 0.1%
0.9225941423 1
 
< 0.1%
0.9184100418 3
< 0.1%
0.9121338912 1
 
< 0.1%

vision_away_defense
Real number (ℝ)

Distinct267
Distinct (%)2.3%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5690841913
Minimum0
Maximum0.9569892473
Zeros8
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:47.655863image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3629032258
Q10.5
median0.5752688172
Q30.6478494624
95-th percentile0.747311828
Maximum0.9569892473
Range0.9569892473
Interquartile range (IQR)0.1478494624

Descriptive statistics

Standard deviation0.1158010485
Coefficient of variation (CV)0.2034866726
Kurtosis0.769718903
Mean0.5690841913
Median Absolute Deviation (MAD)0.0752688172
Skewness-0.4941705132
Sum6686.739247
Variance0.01340988283
MonotonicityNot monotonic
2023-05-05T18:09:47.832807image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5994623656 145
 
0.9%
0.5564516129 143
 
0.8%
0.5510752688 138
 
0.8%
0.6048387097 134
 
0.8%
0.5725806452 133
 
0.8%
0.6021505376 133
 
0.8%
0.6129032258 126
 
0.7%
0.5806451613 125
 
0.7%
0.5860215054 123
 
0.7%
0.5591397849 120
 
0.7%
Other values (257) 10430
61.7%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 8
< 0.1%
0.1182795699 1
 
< 0.1%
0.123655914 2
 
< 0.1%
0.126344086 5
< 0.1%
0.1317204301 3
 
< 0.1%
ValueCountFrequency (%)
0.9569892473 1
< 0.1%
0.9327956989 1
< 0.1%
0.9112903226 1
< 0.1%
0.9086021505 2
< 0.1%
0.8924731183 1
< 0.1%

vision_away_forward
Real number (ℝ)

Distinct239
Distinct (%)2.0%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4508669419
Minimum0
Maximum1
Zeros108
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:48.020746image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1882462687
Q10.25
median0.4552238806
Q30.5932835821
95-th percentile0.828358209
Maximum1
Range1
Interquartile range (IQR)0.3432835821

Descriptive statistics

Standard deviation0.2134551479
Coefficient of variation (CV)0.4734326872
Kurtosis-0.859465847
Mean0.4508669419
Median Absolute Deviation (MAD)0.1940298507
Skewness0.357329291
Sum5297.686567
Variance0.04556310015
MonotonicityNot monotonic
2023-05-05T18:09:48.236677image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2388059701 203
 
1.2%
0.2537313433 188
 
1.1%
0.2574626866 186
 
1.1%
0.2313432836 183
 
1.1%
0.2425373134 181
 
1.1%
0.2611940299 178
 
1.1%
0.223880597 176
 
1.0%
0.2462686567 171
 
1.0%
0.2350746269 171
 
1.0%
0.25 164
 
1.0%
Other values (229) 9949
58.9%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 108
0.6%
0.04104477612 4
 
< 0.1%
0.09328358209 2
 
< 0.1%
0.1007462687 2
 
< 0.1%
0.1044776119 1
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9925373134 1
< 0.1%
0.9850746269 1
< 0.1%
0.9776119403 1
< 0.1%
0.973880597 2
< 0.1%

vision_away_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct71
Distinct (%)0.6%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4151831863
Minimum0
Maximum1
Zeros261
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:48.470602image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1585365854
Q10.3048780488
median0.3780487805
Q30.5243902439
95-th percentile0.756097561
Maximum1
Range1
Interquartile range (IQR)0.2195121951

Descriptive statistics

Standard deviation0.1740410552
Coefficient of variation (CV)0.4191910004
Kurtosis0.1467508428
Mean0.4151831863
Median Absolute Deviation (MAD)0.08536585366
Skewness0.4075545187
Sum4878.402439
Variance0.03029028891
MonotonicityNot monotonic
2023-05-05T18:09:48.663540image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3048780488 3098
18.3%
0.3780487805 495
 
2.9%
0.3902439024 333
 
2.0%
0.4024390244 328
 
1.9%
0.5487804878 328
 
1.9%
0.5 315
 
1.9%
0.487804878 291
 
1.7%
0.4268292683 289
 
1.7%
0.4146341463 262
 
1.6%
0 261
 
1.5%
Other values (61) 5750
34.0%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 261
1.5%
0.0487804878 4
 
< 0.1%
0.06097560976 3
 
< 0.1%
0.08536585366 14
 
0.1%
0.09756097561 40
 
0.2%
ValueCountFrequency (%)
1 5
 
< 0.1%
0.9024390244 29
0.2%
0.8780487805 47
0.3%
0.8658536585 1
 
< 0.1%
0.8536585366 50
0.3%

vision_away_midfielder
Real number (ℝ)

Distinct350
Distinct (%)3.0%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5989282366
Minimum0
Maximum0.936440678
Zeros6
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:48.862539image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3919491525
Q10.4894067797
median0.6016949153
Q30.7055084746
95-th percentile0.8177966102
Maximum0.936440678
Range0.936440678
Interquartile range (IQR)0.2161016949

Descriptive statistics

Standard deviation0.1390116966
Coefficient of variation (CV)0.2321007562
Kurtosis-0.3109547902
Mean0.5989282366
Median Absolute Deviation (MAD)0.1080508475
Skewness-0.1595170027
Sum7037.40678
Variance0.0193242518
MonotonicityNot monotonic
2023-05-05T18:09:49.053555image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.593220339 84
 
0.5%
0.6334745763 82
 
0.5%
0.625 82
 
0.5%
0.6758474576 80
 
0.5%
0.5953389831 80
 
0.5%
0.6080508475 79
 
0.5%
0.436440678 76
 
0.4%
0.6207627119 76
 
0.4%
0.5783898305 75
 
0.4%
0.6631355932 74
 
0.4%
Other values (340) 10962
64.9%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 6
< 0.1%
0.08686440678 1
 
< 0.1%
0.09745762712 3
< 0.1%
0.1207627119 1
 
< 0.1%
0.1313559322 1
 
< 0.1%
ValueCountFrequency (%)
0.936440678 1
 
< 0.1%
0.9194915254 1
 
< 0.1%
0.9152542373 1
 
< 0.1%
0.9131355932 3
< 0.1%
0.9110169492 1
 
< 0.1%

vision_home_defense
Real number (ℝ)

Distinct265
Distinct (%)2.3%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5980165885
Minimum0
Maximum1
Zeros11
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:49.294539image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3854519774
Q10.5282485876
median0.604519774
Q30.6807909605
95-th percentile0.7824858757
Maximum1
Range1
Interquartile range (IQR)0.1525423729

Descriptive statistics

Standard deviation0.1204315659
Coefficient of variation (CV)0.201384992
Kurtosis0.97866769
Mean0.5980165885
Median Absolute Deviation (MAD)0.07627118644
Skewness-0.5727787692
Sum7026.694915
Variance0.01450376206
MonotonicityNot monotonic
2023-05-05T18:09:49.483021image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6299435028 148
 
0.9%
0.615819209 145
 
0.9%
0.6186440678 143
 
0.8%
0.5875706215 139
 
0.8%
0.5847457627 139
 
0.8%
0.6214689266 134
 
0.8%
0.6327683616 131
 
0.8%
0.5706214689 130
 
0.8%
0.6468926554 130
 
0.8%
0.7118644068 128
 
0.8%
Other values (255) 10383
61.4%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 11
0.1%
0.0988700565 1
 
< 0.1%
0.1073446328 1
 
< 0.1%
0.115819209 2
 
< 0.1%
0.1214689266 1
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9774011299 1
< 0.1%
0.9378531073 1
< 0.1%
0.9322033898 1
< 0.1%
0.9209039548 1
< 0.1%

vision_home_forward
Real number (ℝ)

Distinct237
Distinct (%)2.0%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.45445443
Minimum0
Maximum1
Zeros113
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:49.669962image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1865671642
Q10.2537313433
median0.4626865672
Q30.5895522388
95-th percentile0.8246268657
Maximum1
Range1
Interquartile range (IQR)0.3358208955

Descriptive statistics

Standard deviation0.2104002142
Coefficient of variation (CV)0.4629731835
Kurtosis-0.8389117628
Mean0.45445443
Median Absolute Deviation (MAD)0.1921641791
Skewness0.3031490943
Sum5339.839552
Variance0.04426825013
MonotonicityNot monotonic
2023-05-05T18:09:49.882894image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2388059701 211
 
1.2%
0.2537313433 183
 
1.1%
0.2425373134 169
 
1.0%
0.2574626866 167
 
1.0%
0.2462686567 166
 
1.0%
0.2201492537 163
 
1.0%
0.2313432836 161
 
1.0%
0.2350746269 159
 
0.9%
0.25 156
 
0.9%
0.223880597 153
 
0.9%
Other values (227) 10062
59.5%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 113
0.7%
0.04104477612 3
 
< 0.1%
0.1119402985 1
 
< 0.1%
0.1156716418 4
 
< 0.1%
0.1194029851 4
 
< 0.1%
ValueCountFrequency (%)
1 2
< 0.1%
0.9925373134 1
< 0.1%
0.9850746269 1
< 0.1%
0.9813432836 2
< 0.1%
0.973880597 1
< 0.1%

vision_home_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct71
Distinct (%)0.6%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4185801764
Minimum0
Maximum1
Zeros246
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:50.085830image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1707317073
Q10.3048780488
median0.3902439024
Q30.5243902439
95-th percentile0.7682926829
Maximum1
Range1
Interquartile range (IQR)0.2195121951

Descriptive statistics

Standard deviation0.1739189183
Coefficient of variation (CV)0.4154972646
Kurtosis0.1867534436
Mean0.4185801764
Median Absolute Deviation (MAD)0.08536585366
Skewness0.4320594981
Sum4918.317073
Variance0.03024779015
MonotonicityNot monotonic
2023-05-05T18:09:50.271770image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3048780488 3131
18.5%
0.3780487805 499
 
3.0%
0.4024390244 344
 
2.0%
0.5 340
 
2.0%
0.3902439024 325
 
1.9%
0.5487804878 322
 
1.9%
0.487804878 303
 
1.8%
0.4268292683 284
 
1.7%
0.4146341463 260
 
1.5%
0 246
 
1.5%
Other values (61) 5696
33.7%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 246
1.5%
0.0487804878 3
 
< 0.1%
0.06097560976 3
 
< 0.1%
0.07317073171 1
 
< 0.1%
0.08536585366 12
 
0.1%
ValueCountFrequency (%)
1 11
 
0.1%
0.9024390244 30
0.2%
0.8780487805 44
0.3%
0.8536585366 47
0.3%
0.8414634146 45
0.3%

vision_home_midfielder
Real number (ℝ)

Distinct348
Distinct (%)3.0%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5623619564
Minimum0
Maximum1
Zeros12
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:50.502697image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3685258964
Q10.4601593625
median0.5657370518
Q30.6633466135
95-th percentile0.7669322709
Maximum1
Range1
Interquartile range (IQR)0.203187251

Descriptive statistics

Standard deviation0.1308653153
Coefficient of variation (CV)0.2327065582
Kurtosis-0.2466722142
Mean0.5623619564
Median Absolute Deviation (MAD)0.1015936255
Skewness-0.1575760891
Sum6607.752988
Variance0.01712573075
MonotonicityNot monotonic
2023-05-05T18:09:50.728624image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5756972112 86
 
0.5%
0.5577689243 79
 
0.5%
0.5537848606 77
 
0.5%
0.5597609562 76
 
0.4%
0.5876494024 76
 
0.4%
0.5557768924 75
 
0.4%
0.577689243 75
 
0.4%
0.5478087649 74
 
0.4%
0.5737051793 73
 
0.4%
0.6474103586 73
 
0.4%
Other values (338) 10986
65.0%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 12
0.1%
0.08167330677 2
 
< 0.1%
0.09163346614 1
 
< 0.1%
0.09760956175 1
 
< 0.1%
0.09960159363 1
 
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9521912351 1
 
< 0.1%
0.8804780876 3
< 0.1%
0.8784860558 1
 
< 0.1%
0.8764940239 1
 
< 0.1%

penalties_away_defense
Real number (ℝ)

Distinct295
Distinct (%)2.5%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5469498857
Minimum0
Maximum1
Zeros8
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:50.938557image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3388429752
Q10.4710743802
median0.5426997245
Q30.6225895317
95-th percentile0.7630853994
Maximum1
Range1
Interquartile range (IQR)0.1515151515

Descriptive statistics

Standard deviation0.1264479955
Coefficient of variation (CV)0.2311875344
Kurtosis0.6556600558
Mean0.5469498857
Median Absolute Deviation (MAD)0.07438016529
Skewness-0.06257626881
Sum6426.661157
Variance0.01598909558
MonotonicityNot monotonic
2023-05-05T18:09:51.140006image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5316804408 152
 
0.9%
0.5454545455 138
 
0.8%
0.4958677686 129
 
0.8%
0.523415978 127
 
0.8%
0.5564738292 127
 
0.8%
0.5179063361 126
 
0.7%
0.5261707989 125
 
0.7%
0.5013774105 123
 
0.7%
0.5619834711 123
 
0.7%
0.4903581267 122
 
0.7%
Other values (285) 10458
61.9%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 8
< 0.1%
0.07438016529 2
 
< 0.1%
0.07713498623 4
< 0.1%
0.09090909091 2
 
< 0.1%
0.09366391185 3
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9917355372 1
< 0.1%
0.9807162534 1
< 0.1%
0.958677686 1
< 0.1%
0.9504132231 1
< 0.1%

penalties_away_forward
Real number (ℝ)

Distinct240
Distinct (%)2.0%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4493994584
Minimum0
Maximum1
Zeros108
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:51.325947image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q10.2618181818
median0.4581818182
Q30.5854545455
95-th percentile0.7963636364
Maximum1
Range1
Interquartile range (IQR)0.3236363636

Descriptive statistics

Standard deviation0.2004280529
Coefficient of variation (CV)0.4459908643
Kurtosis-0.8667865287
Mean0.4493994584
Median Absolute Deviation (MAD)0.1818181818
Skewness0.2979650526
Sum5280.443636
Variance0.04017140439
MonotonicityNot monotonic
2023-05-05T18:09:51.507889image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2545454545 203
 
1.2%
0.2690909091 195
 
1.2%
0.2254545455 192
 
1.1%
0.2654545455 179
 
1.1%
0.2727272727 175
 
1.0%
0.2618181818 172
 
1.0%
0.2763636364 172
 
1.0%
0.2472727273 170
 
1.0%
0.28 156
 
0.9%
0.2363636364 152
 
0.9%
Other values (230) 9984
59.1%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 108
0.6%
0.04363636364 1
 
< 0.1%
0.06181818182 4
 
< 0.1%
0.1054545455 3
 
< 0.1%
0.1090909091 4
 
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9818181818 2
< 0.1%
0.9781818182 3
< 0.1%
0.9709090909 4
< 0.1%
0.9672727273 1
 
< 0.1%

penalties_away_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct85
Distinct (%)0.7%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.3286600272
Minimum0
Maximum1
Zeros261
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:51.692830image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1170212766
Q10.2234042553
median0.2659574468
Q30.4042553191
95-th percentile0.7446808511
Maximum1
Range1
Interquartile range (IQR)0.1808510638

Descriptive statistics

Standard deviation0.1845194988
Coefficient of variation (CV)0.5614296949
Kurtosis1.181045016
Mean0.3286600272
Median Absolute Deviation (MAD)0.07446808511
Skewness1.172638446
Sum3861.755319
Variance0.03404744542
MonotonicityNot monotonic
2023-05-05T18:09:51.874773image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2659574468 1279
 
7.6%
0.2234042553 625
 
3.7%
0.2340425532 581
 
3.4%
0.2553191489 542
 
3.2%
0.2446808511 489
 
2.9%
0.2765957447 362
 
2.1%
0.3191489362 356
 
2.1%
0.3085106383 333
 
2.0%
0.4255319149 288
 
1.7%
0.1170212766 287
 
1.7%
Other values (75) 6608
39.1%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 261
1.5%
0.05319148936 19
 
0.1%
0.06382978723 28
 
0.2%
0.07446808511 6
 
< 0.1%
0.08510638298 41
 
0.2%
ValueCountFrequency (%)
1 21
0.1%
0.9787234043 1
 
< 0.1%
0.9574468085 5
 
< 0.1%
0.9255319149 6
 
< 0.1%
0.9042553191 45
0.3%

penalties_away_midfielder
Real number (ℝ)

Distinct360
Distinct (%)3.1%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5543482988
Minimum0
Maximum0.9933920705
Zeros6
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:52.050716image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3370044053
Q10.4471365639
median0.5594713656
Q30.6585903084
95-th percentile0.7709251101
Maximum0.9933920705
Range0.9933920705
Interquartile range (IQR)0.2114537445

Descriptive statistics

Standard deviation0.1386461477
Coefficient of variation (CV)0.250106563
Kurtosis-0.3446710697
Mean0.5543482988
Median Absolute Deviation (MAD)0.1057268722
Skewness-0.1133616099
Sum6513.592511
Variance0.01922275428
MonotonicityNot monotonic
2023-05-05T18:09:52.281643image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5881057269 90
 
0.5%
0.627753304 87
 
0.5%
0.5969162996 81
 
0.5%
0.6079295154 79
 
0.5%
0.6718061674 79
 
0.5%
0.6035242291 78
 
0.5%
0.5814977974 76
 
0.4%
0.59030837 75
 
0.4%
0.6189427313 73
 
0.4%
0.5352422907 73
 
0.4%
Other values (350) 10959
64.9%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 6
< 0.1%
0.09911894273 4
< 0.1%
0.1013215859 2
 
< 0.1%
0.1079295154 1
 
< 0.1%
0.1101321586 1
 
< 0.1%
ValueCountFrequency (%)
0.9933920705 1
< 0.1%
0.9889867841 1
< 0.1%
0.9691629956 1
< 0.1%
0.9537444934 2
< 0.1%
0.949339207 1
< 0.1%

penalties_home_defense
Real number (ℝ)

Distinct294
Distinct (%)2.5%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5713157251
Minimum0
Maximum1
Zeros11
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:52.459617image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3563218391
Q10.4942528736
median0.5689655172
Q30.6465517241
95-th percentile0.7931034483
Maximum1
Range1
Interquartile range (IQR)0.1522988506

Descriptive statistics

Standard deviation0.130050004
Coefficient of variation (CV)0.2276324601
Kurtosis0.8425016659
Mean0.5713157251
Median Absolute Deviation (MAD)0.07471264368
Skewness-0.1328917761
Sum6712.95977
Variance0.01691300354
MonotonicityNot monotonic
2023-05-05T18:09:52.657579image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5689655172 160
 
0.9%
0.5545977011 147
 
0.9%
0.5804597701 143
 
0.8%
0.5402298851 136
 
0.8%
0.5229885057 134
 
0.8%
0.566091954 134
 
0.8%
0.5488505747 133
 
0.8%
0.5172413793 130
 
0.8%
0.5890804598 130
 
0.8%
0.6063218391 129
 
0.8%
Other values (284) 10374
61.4%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 11
0.1%
0.02298850575 1
 
< 0.1%
0.0775862069 1
 
< 0.1%
0.08045977011 5
< 0.1%
0.09482758621 1
 
< 0.1%
ValueCountFrequency (%)
1 3
< 0.1%
0.9798850575 1
 
< 0.1%
0.974137931 1
 
< 0.1%
0.9712643678 1
 
< 0.1%
0.9597701149 3
< 0.1%

penalties_home_forward
Real number (ℝ)

Distinct238
Distinct (%)2.0%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4554311799
Minimum0
Maximum1
Zeros113
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:52.852546image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2072727273
Q10.2654545455
median0.4690909091
Q30.5890909091
95-th percentile0.7963636364
Maximum1
Range1
Interquartile range (IQR)0.3236363636

Descriptive statistics

Standard deviation0.1986993535
Coefficient of variation (CV)0.4362884279
Kurtosis-0.8418881447
Mean0.4554311799
Median Absolute Deviation (MAD)0.1854545455
Skewness0.2469321028
Sum5351.316364
Variance0.03948143308
MonotonicityNot monotonic
2023-05-05T18:09:53.041547image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2545454545 214
 
1.3%
0.2690909091 199
 
1.2%
0.2654545455 175
 
1.0%
0.2763636364 175
 
1.0%
0.2727272727 174
 
1.0%
0.2254545455 171
 
1.0%
0.2618181818 156
 
0.9%
0.2581818182 151
 
0.9%
0.2327272727 149
 
0.9%
0.2363636364 145
 
0.9%
Other values (228) 10041
59.4%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 113
0.7%
0.06181818182 3
 
< 0.1%
0.09454545455 1
 
< 0.1%
0.1054545455 1
 
< 0.1%
0.1090909091 1
 
< 0.1%
ValueCountFrequency (%)
1 2
 
< 0.1%
0.9854545455 1
 
< 0.1%
0.9781818182 2
 
< 0.1%
0.9709090909 5
< 0.1%
0.96 2
 
< 0.1%

penalties_home_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct86
Distinct (%)0.7%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.3303956541
Minimum0
Maximum1
Zeros246
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:53.237989image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1170212766
Q10.2234042553
median0.2659574468
Q30.4042553191
95-th percentile0.7446808511
Maximum1
Range1
Interquartile range (IQR)0.1808510638

Descriptive statistics

Standard deviation0.1853822484
Coefficient of variation (CV)0.5610916672
Kurtosis1.111762534
Mean0.3303956541
Median Absolute Deviation (MAD)0.07446808511
Skewness1.171252386
Sum3882.148936
Variance0.03436657803
MonotonicityNot monotonic
2023-05-05T18:09:53.469915image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2659574468 1308
 
7.7%
0.2234042553 659
 
3.9%
0.2340425532 535
 
3.2%
0.2446808511 509
 
3.0%
0.2553191489 506
 
3.0%
0.2765957447 381
 
2.3%
0.3191489362 361
 
2.1%
0.3085106383 325
 
1.9%
0.1170212766 295
 
1.7%
0.2978723404 283
 
1.7%
Other values (76) 6588
39.0%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 246
1.5%
0.05319148936 14
 
0.1%
0.06382978723 30
 
0.2%
0.07446808511 4
 
< 0.1%
0.08510638298 33
 
0.2%
ValueCountFrequency (%)
1 24
0.1%
0.9787234043 1
 
< 0.1%
0.9574468085 2
 
< 0.1%
0.9361702128 3
 
< 0.1%
0.9255319149 5
 
< 0.1%

penalties_home_midfielder
Real number (ℝ)

Distinct357
Distinct (%)3.0%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5256366064
Minimum0
Maximum1
Zeros12
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:53.696842image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3242677824
Q10.4246861925
median0.5292887029
Q30.6255230126
95-th percentile0.730125523
Maximum1
Range1
Interquartile range (IQR)0.2008368201

Descriptive statistics

Standard deviation0.1306354373
Coefficient of variation (CV)0.2485280433
Kurtosis-0.2800982545
Mean0.5256366064
Median Absolute Deviation (MAD)0.10041841
Skewness-0.117794396
Sum6176.230126
Variance0.01706561747
MonotonicityNot monotonic
2023-05-05T18:09:53.885782image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5753138075 86
 
0.5%
0.5606694561 82
 
0.5%
0.5941422594 81
 
0.5%
0.6317991632 80
 
0.5%
0.5481171548 80
 
0.5%
0.550209205 80
 
0.5%
0.6464435146 79
 
0.5%
0.5355648536 79
 
0.5%
0.3974895397 76
 
0.4%
0.5292887029 76
 
0.4%
Other values (347) 10951
64.8%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 12
0.1%
0.07112970711 1
 
< 0.1%
0.09414225941 1
 
< 0.1%
0.09623430962 2
 
< 0.1%
0.09832635983 4
 
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9393305439 3
< 0.1%
0.9372384937 1
 
< 0.1%
0.9351464435 1
 
< 0.1%
0.9288702929 1
 
< 0.1%

marking_away_defense
Real number (ℝ)

Distinct293
Distinct (%)2.5%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.679883652
Minimum0
Maximum0.9974683544
Zeros8
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:54.078721image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4835443038
Q10.6329113924
median0.6987341772
Q30.7493670886
95-th percentile0.8126582278
Maximum0.9974683544
Range0.9974683544
Interquartile range (IQR)0.1164556962

Descriptive statistics

Standard deviation0.1076757027
Coefficient of variation (CV)0.1583737193
Kurtosis4.234399682
Mean0.679883652
Median Absolute Deviation (MAD)0.0582278481
Skewness-1.497269092
Sum7988.632911
Variance0.01159405695
MonotonicityNot monotonic
2023-05-05T18:09:54.279656image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7291139241 176
 
1.0%
0.7316455696 175
 
1.0%
0.7189873418 175
 
1.0%
0.7240506329 169
 
1.0%
0.7265822785 158
 
0.9%
0.746835443 157
 
0.9%
0.7215189873 156
 
0.9%
0.7392405063 156
 
0.9%
0.7443037975 154
 
0.9%
0.7139240506 153
 
0.9%
Other values (283) 10121
59.9%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 8
< 0.1%
0.1291139241 1
 
< 0.1%
0.1316455696 4
< 0.1%
0.1367088608 2
 
< 0.1%
0.1417721519 8
< 0.1%
ValueCountFrequency (%)
0.9974683544 2
< 0.1%
0.9797468354 1
< 0.1%
0.9772151899 1
< 0.1%
0.9721518987 1
< 0.1%
0.9696202532 1
< 0.1%

marking_away_forward
Real number (ℝ)

Distinct172
Distinct (%)1.5%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.2439148936
Minimum0
Maximum1
Zeros108
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:54.475622image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.07373271889
Q10.1198156682
median0.2165898618
Q30.331797235
95-th percentile0.5069124424
Maximum1
Range1
Interquartile range (IQR)0.2119815668

Descriptive statistics

Standard deviation0.1400972352
Coefficient of variation (CV)0.5743693348
Kurtosis0.4145343241
Mean0.2439148936
Median Absolute Deviation (MAD)0.1013824885
Skewness0.8336579622
Sum2866
Variance0.01962723531
MonotonicityNot monotonic
2023-05-05T18:09:54.680583image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1152073733 726
 
4.3%
0.09677419355 311
 
1.8%
0.1013824885 278
 
1.6%
0.2304147465 254
 
1.5%
0.09216589862 239
 
1.4%
0.202764977 233
 
1.4%
0.1059907834 229
 
1.4%
0.1290322581 197
 
1.2%
0.2119815668 184
 
1.1%
0.1889400922 170
 
1.0%
Other values (162) 8929
52.8%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 108
0.6%
0.03225806452 4
 
< 0.1%
0.04608294931 18
 
0.1%
0.05069124424 52
0.3%
0.05529953917 108
0.6%
ValueCountFrequency (%)
1 1
< 0.1%
0.9216589862 1
< 0.1%
0.8709677419 1
< 0.1%
0.8341013825 1
< 0.1%
0.8294930876 2
< 0.1%

marking_away_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct43
Distinct (%)0.4%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.2500673759
Minimum0
Maximum1
Zeros261
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:54.898599image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1111111111
Q10.1666666667
median0.2777777778
Q30.3472222222
95-th percentile0.3472222222
Maximum1
Range1
Interquartile range (IQR)0.1805555556

Descriptive statistics

Standard deviation0.09657935699
Coefficient of variation (CV)0.3862133421
Kurtosis0.4076364517
Mean0.2500673759
Median Absolute Deviation (MAD)0.06944444444
Skewness-0.1586220959
Sum2938.291667
Variance0.009327572196
MonotonicityNot monotonic
2023-05-05T18:09:55.102626image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0.3472222222 3454
20.4%
0.1666666667 955
 
5.7%
0.1527777778 891
 
5.3%
0.1805555556 750
 
4.4%
0.1944444444 689
 
4.1%
0.3055555556 655
 
3.9%
0.2916666667 600
 
3.6%
0.1388888889 568
 
3.4%
0.2777777778 485
 
2.9%
0.3194444444 345
 
2.0%
Other values (33) 2358
14.0%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 261
1.5%
0.02777777778 3
 
< 0.1%
0.04166666667 5
 
< 0.1%
0.06944444444 73
 
0.4%
0.08333333333 52
 
0.3%
ValueCountFrequency (%)
1 1
< 0.1%
0.9583333333 1
< 0.1%
0.9166666667 1
< 0.1%
0.8472222222 1
< 0.1%
0.8055555556 2
< 0.1%

marking_away_midfielder
Real number (ℝ)

Distinct321
Distinct (%)2.7%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5459695091
Minimum0
Maximum1
Zeros6
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:55.337632image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3517060367
Q10.4619422572
median0.5406824147
Q30.624671916
95-th percentile0.7625984252
Maximum1
Range1
Interquartile range (IQR)0.1627296588

Descriptive statistics

Standard deviation0.1266823656
Coefficient of variation (CV)0.2320319423
Kurtosis0.4618297897
Mean0.5459695091
Median Absolute Deviation (MAD)0.0813648294
Skewness0.08610482097
Sum6415.141732
Variance0.01604842176
MonotonicityNot monotonic
2023-05-05T18:09:55.519599image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5590551181 121
 
0.7%
0.4619422572 120
 
0.7%
0.5511811024 117
 
0.7%
0.501312336 114
 
0.7%
0.5669291339 111
 
0.7%
0.5039370079 110
 
0.7%
0.4908136483 110
 
0.7%
0.5774278215 109
 
0.6%
0.5406824147 108
 
0.6%
0.5905511811 108
 
0.6%
Other values (311) 10622
62.9%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 6
< 0.1%
0.0498687664 1
 
< 0.1%
0.05511811024 1
 
< 0.1%
0.06824146982 1
 
< 0.1%
0.08661417323 1
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9921259843 2
< 0.1%
0.9895013123 1
< 0.1%
0.9842519685 1
< 0.1%
0.9737532808 1
< 0.1%

marking_home_defense
Real number (ℝ)

Distinct299
Distinct (%)2.5%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.669305672
Minimum0
Maximum1
Zeros11
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:55.734609image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4763092269
Q10.6234413965
median0.6907730673
Q30.7381546135
95-th percentile0.7980049875
Maximum1
Range1
Interquartile range (IQR)0.114713217

Descriptive statistics

Standard deviation0.1065518667
Coefficient of variation (CV)0.159197615
Kurtosis4.670689953
Mean0.669305672
Median Absolute Deviation (MAD)0.05486284289
Skewness-1.596590453
Sum7864.341646
Variance0.0113533003
MonotonicityNot monotonic
2023-05-05T18:09:55.936637image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7132169576 199
 
1.2%
0.7007481297 182
 
1.1%
0.7182044888 179
 
1.1%
0.7082294264 178
 
1.1%
0.710723192 167
 
1.0%
0.7281795511 163
 
1.0%
0.7032418953 155
 
0.9%
0.7456359102 155
 
0.9%
0.7431421446 152
 
0.9%
0.7206982544 150
 
0.9%
Other values (289) 10070
59.6%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 11
0.1%
0.1047381546 1
 
< 0.1%
0.114713217 1
 
< 0.1%
0.1296758105 4
 
< 0.1%
0.1371571072 2
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.970074813 2
< 0.1%
0.9650872818 1
< 0.1%
0.9600997506 1
< 0.1%
0.9551122195 1
< 0.1%

marking_home_forward
Real number (ℝ)

Distinct164
Distinct (%)1.4%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.2419730627
Minimum0
Maximum1
Zeros113
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:56.130625image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.07798165138
Q10.123853211
median0.2201834862
Q30.3302752294
95-th percentile0.4908256881
Maximum1
Range1
Interquartile range (IQR)0.2064220183

Descriptive statistics

Standard deviation0.1346967145
Coefficient of variation (CV)0.5566599562
Kurtosis0.3375648472
Mean0.2419730627
Median Absolute Deviation (MAD)0.1009174312
Skewness0.7756920307
Sum2843.183486
Variance0.01814320489
MonotonicityNot monotonic
2023-05-05T18:09:56.361087image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1146788991 754
 
4.5%
0.2293577982 285
 
1.7%
0.09633027523 273
 
1.6%
0.09174311927 241
 
1.4%
0.1009174312 240
 
1.4%
0.1055045872 236
 
1.4%
0.2018348624 222
 
1.3%
0.2110091743 184
 
1.1%
0.2064220183 180
 
1.1%
0.128440367 173
 
1.0%
Other values (154) 8962
53.0%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 113
0.7%
0.03211009174 3
 
< 0.1%
0.04587155963 20
 
0.1%
0.0504587156 49
0.3%
0.05504587156 80
0.5%
ValueCountFrequency (%)
1 1
< 0.1%
0.9587155963 1
< 0.1%
0.9174311927 1
< 0.1%
0.8165137615 2
< 0.1%
0.8073394495 1
< 0.1%

marking_home_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct40
Distinct (%)0.3%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.2612815294
Minimum0
Maximum1
Zeros246
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:56.546029image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.115942029
Q10.1739130435
median0.2898550725
Q30.3623188406
95-th percentile0.3623188406
Maximum1
Range1
Interquartile range (IQR)0.1884057971

Descriptive statistics

Standard deviation0.1004402965
Coefficient of variation (CV)0.3844140713
Kurtosis0.4390793341
Mean0.2612815294
Median Absolute Deviation (MAD)0.07246376812
Skewness-0.1438773976
Sum3070.057971
Variance0.01008825316
MonotonicityNot monotonic
2023-05-05T18:09:56.734967image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0.3623188406 3440
20.4%
0.1739130435 939
 
5.6%
0.1594202899 919
 
5.4%
0.1884057971 757
 
4.5%
0.3188405797 669
 
4.0%
0.2028985507 662
 
3.9%
0.3043478261 624
 
3.7%
0.1449275362 590
 
3.5%
0.2898550725 531
 
3.1%
0.3333333333 328
 
1.9%
Other values (30) 2291
13.6%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 246
1.5%
0.02898550725 4
 
< 0.1%
0.04347826087 5
 
< 0.1%
0.07246376812 76
 
0.4%
0.08695652174 66
 
0.4%
ValueCountFrequency (%)
1 2
 
< 0.1%
0.9420289855 2
 
< 0.1%
0.8405797101 3
 
< 0.1%
0.6811594203 4
 
< 0.1%
0.5652173913 19
0.1%

marking_home_midfielder
Real number (ℝ)

Distinct316
Distinct (%)2.7%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5392780477
Minimum0
Maximum1
Zeros12
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:56.959896image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.343832021
Q10.4566929134
median0.5354330709
Q30.6194225722
95-th percentile0.750656168
Maximum1
Range1
Interquartile range (IQR)0.1627296588

Descriptive statistics

Standard deviation0.1249808155
Coefficient of variation (CV)0.2317558002
Kurtosis0.5832440738
Mean0.5392780477
Median Absolute Deviation (MAD)0.0813648294
Skewness0.03799741764
Sum6336.51706
Variance0.01562020424
MonotonicityNot monotonic
2023-05-05T18:09:57.152834image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5275590551 123
 
0.7%
0.501312336 121
 
0.7%
0.5065616798 117
 
0.7%
0.5564304462 115
 
0.7%
0.5511811024 114
 
0.7%
0.4540682415 114
 
0.7%
0.5485564304 114
 
0.7%
0.5118110236 114
 
0.7%
0.5380577428 113
 
0.7%
0.5406824147 112
 
0.7%
Other values (306) 10593
62.7%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 12
0.1%
0.06036745407 2
 
< 0.1%
0.06824146982 1
 
< 0.1%
0.07874015748 1
 
< 0.1%
0.08923884514 2
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9632545932 1
< 0.1%
0.9501312336 1
< 0.1%
0.9475065617 1
< 0.1%
0.9422572178 1
< 0.1%
Distinct302
Distinct (%)2.6%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.6827872866
Minimum0
Maximum1
Zeros8
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:57.352771image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4864197531
Q10.6345679012
median0.7061728395
Q30.7530864198
95-th percentile0.812345679
Maximum1
Range1
Interquartile range (IQR)0.1185185185

Descriptive statistics

Standard deviation0.107872222
Coefficient of variation (CV)0.1579880355
Kurtosis4.383075078
Mean0.6827872866
Median Absolute Deviation (MAD)0.05679012346
Skewness-1.523574353
Sum8022.750617
Variance0.01163641629
MonotonicityNot monotonic
2023-05-05T18:09:57.538711image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.750617284 188
 
1.1%
0.7308641975 186
 
1.1%
0.7432098765 183
 
1.1%
0.7481481481 172
 
1.0%
0.7555555556 171
 
1.0%
0.7382716049 168
 
1.0%
0.7456790123 164
 
1.0%
0.7358024691 157
 
0.9%
0.7333333333 154
 
0.9%
0.7407407407 153
 
0.9%
Other values (292) 10054
59.5%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 8
< 0.1%
0.1135802469 3
 
< 0.1%
0.1382716049 1
 
< 0.1%
0.1407407407 3
 
< 0.1%
0.1432098765 1
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.987654321 1
< 0.1%
0.9827160494 1
< 0.1%
0.9777777778 1
< 0.1%
0.975308642 1
< 0.1%
Distinct176
Distinct (%)1.5%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.2734008359
Minimum0
Maximum1
Zeros108
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:57.738647image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.08928571429
Q10.1428571429
median0.2455357143
Q30.375
95-th percentile0.5625
Maximum1
Range1
Interquartile range (IQR)0.2321428571

Descriptive statistics

Standard deviation0.1531105819
Coefficient of variation (CV)0.5600223619
Kurtosis0.03736424471
Mean0.2734008359
Median Absolute Deviation (MAD)0.1116071429
Skewness0.7304910789
Sum3212.459821
Variance0.02344285027
MonotonicityNot monotonic
2023-05-05T18:09:57.987077image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1116071429 458
 
2.7%
0.1026785714 214
 
1.3%
0.09821428571 202
 
1.2%
0.09375 192
 
1.1%
0.1383928571 187
 
1.1%
0.1071428571 185
 
1.1%
0.1875 182
 
1.1%
0.1428571429 175
 
1.0%
0.1696428571 168
 
1.0%
0.2232142857 164
 
1.0%
Other values (166) 9623
56.9%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 108
0.6%
0.04464285714 17
 
0.1%
0.04910714286 30
 
0.2%
0.05357142857 36
 
0.2%
0.05803571429 12
 
0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9285714286 1
 
< 0.1%
0.9017857143 1
 
< 0.1%
0.8794642857 3
< 0.1%
0.8392857143 2
< 0.1%

standing_tackle_away_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct47
Distinct (%)0.4%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.2585898345
Minimum0
Maximum1
Zeros261
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:58.172018image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1111111111
Q10.1666666667
median0.2777777778
Q30.3472222222
95-th percentile0.375
Maximum1
Range1
Interquartile range (IQR)0.1805555556

Descriptive statistics

Standard deviation0.1010793112
Coefficient of variation (CV)0.3908866385
Kurtosis0.3888103454
Mean0.2585898345
Median Absolute Deviation (MAD)0.06944444444
Skewness-0.03164978648
Sum3038.430556
Variance0.01021702715
MonotonicityNot monotonic
2023-05-05T18:09:58.357958image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0.3472222222 3392
20.1%
0.1666666667 912
 
5.4%
0.1805555556 761
 
4.5%
0.1527777778 758
 
4.5%
0.3055555556 642
 
3.8%
0.2916666667 628
 
3.7%
0.1388888889 601
 
3.6%
0.1944444444 599
 
3.5%
0.2777777778 452
 
2.7%
0.1111111111 296
 
1.8%
Other values (37) 2709
16.0%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 261
1.5%
0.05555555556 2
 
< 0.1%
0.06944444444 2
 
< 0.1%
0.08333333333 6
 
< 0.1%
0.09722222222 45
 
0.3%
ValueCountFrequency (%)
1 1
< 0.1%
0.9166666667 1
< 0.1%
0.875 1
< 0.1%
0.8611111111 1
< 0.1%
0.8194444444 1
< 0.1%
Distinct344
Distinct (%)2.9%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5612497529
Minimum0
Maximum1
Zeros6
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:58.564892image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3594132029
Q10.4743276284
median0.5550122249
Q30.6454767726
95-th percentile0.7726161369
Maximum1
Range1
Interquartile range (IQR)0.1711491443

Descriptive statistics

Standard deviation0.1292994691
Coefficient of variation (CV)0.2303777746
Kurtosis0.5049148454
Mean0.5612497529
Median Absolute Deviation (MAD)0.08557457213
Skewness0.02282853002
Sum6594.684597
Variance0.01671835271
MonotonicityNot monotonic
2023-05-05T18:09:58.777825image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5452322738 127
 
0.8%
0.5427872861 117
 
0.7%
0.5378973105 112
 
0.7%
0.4963325183 110
 
0.7%
0.5036674817 106
 
0.6%
0.5550122249 104
 
0.6%
0.4743276284 101
 
0.6%
0.5354523227 101
 
0.6%
0.5403422983 101
 
0.6%
0.5232273839 100
 
0.6%
Other values (334) 10671
63.1%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 6
< 0.1%
0.05134474328 1
 
< 0.1%
0.06601466993 1
 
< 0.1%
0.0684596577 1
 
< 0.1%
0.07334963325 1
 
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9926650367 2
< 0.1%
0.9902200489 4
< 0.1%
0.9877750611 2
< 0.1%
0.9804400978 1
 
< 0.1%
Distinct306
Distinct (%)2.6%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.6804104392
Minimum0
Maximum1
Zeros11
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:58.992756image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4852216749
Q10.6354679803
median0.7019704433
Q30.7512315271
95-th percentile0.8078817734
Maximum1
Range1
Interquartile range (IQR)0.1157635468

Descriptive statistics

Standard deviation0.1083251775
Coefficient of variation (CV)0.1592056371
Kurtosis4.822377648
Mean0.6804104392
Median Absolute Deviation (MAD)0.05665024631
Skewness-1.623426592
Sum7994.82266
Variance0.01173434407
MonotonicityNot monotonic
2023-05-05T18:09:59.180696image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7290640394 183
 
1.1%
0.7487684729 177
 
1.0%
0.7315270936 168
 
1.0%
0.7413793103 163
 
1.0%
0.7389162562 161
 
1.0%
0.724137931 160
 
0.9%
0.7463054187 156
 
0.9%
0.763546798 155
 
0.9%
0.736453202 154
 
0.9%
0.7438423645 152
 
0.9%
Other values (296) 10121
59.9%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 11
0.1%
0.1133004926 4
 
< 0.1%
0.1157635468 1
 
< 0.1%
0.118226601 1
 
< 0.1%
0.1330049261 1
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9975369458 1
< 0.1%
0.9950738916 1
< 0.1%
0.9926108374 1
< 0.1%
0.9802955665 2
< 0.1%
Distinct179
Distinct (%)1.5%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.292729716
Minimum0
Maximum1
Zeros113
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:59.382631image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0956937799
Q10.1578947368
median0.2679425837
Q30.3971291866
95-th percentile0.5885167464
Maximum1
Range1
Interquartile range (IQR)0.2392344498

Descriptive statistics

Standard deviation0.159357997
Coefficient of variation (CV)0.5443861293
Kurtosis0.03127348487
Mean0.292729716
Median Absolute Deviation (MAD)0.1148325359
Skewness0.688780188
Sum3439.574163
Variance0.02539497121
MonotonicityNot monotonic
2023-05-05T18:09:59.569076image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1196172249 444
 
2.6%
0.1100478469 211
 
1.2%
0.1052631579 208
 
1.2%
0.1148325359 191
 
1.1%
0.2009569378 191
 
1.1%
0.1004784689 171
 
1.0%
0.2153110048 171
 
1.0%
0.0956937799 170
 
1.0%
0.1531100478 167
 
1.0%
0.1483253589 165
 
1.0%
Other values (169) 9661
57.2%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 113
0.7%
0.04784688995 13
 
0.1%
0.05263157895 21
 
0.1%
0.05741626794 39
 
0.2%
0.06220095694 17
 
0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.980861244 1
< 0.1%
0.9473684211 1
< 0.1%
0.9425837321 1
< 0.1%
0.9282296651 1
< 0.1%

standing_tackle_home_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct45
Distinct (%)0.4%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.2740938673
Minimum0
Maximum0.9852941176
Zeros246
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:09:59.771012image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1176470588
Q10.1764705882
median0.2941176471
Q30.3676470588
95-th percentile0.3970588235
Maximum0.9852941176
Range0.9852941176
Interquartile range (IQR)0.1911764706

Descriptive statistics

Standard deviation0.1058185619
Coefficient of variation (CV)0.3860668716
Kurtosis0.3446362382
Mean0.2740938673
Median Absolute Deviation (MAD)0.07352941176
Skewness-0.05601921269
Sum3220.602941
Variance0.01119756804
MonotonicityNot monotonic
2023-05-05T18:09:59.971946image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0.3676470588 3372
20.0%
0.1764705882 935
 
5.5%
0.1911764706 764
 
4.5%
0.1617647059 715
 
4.2%
0.3235294118 660
 
3.9%
0.3088235294 647
 
3.8%
0.1470588235 605
 
3.6%
0.2058823529 582
 
3.4%
0.2941176471 465
 
2.8%
0.1176470588 296
 
1.8%
Other values (35) 2709
16.0%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 246
1.5%
0.05882352941 2
 
< 0.1%
0.07352941176 4
 
< 0.1%
0.08823529412 8
 
< 0.1%
0.1029411765 46
 
0.3%
ValueCountFrequency (%)
0.9852941176 2
 
< 0.1%
0.9705882353 2
 
< 0.1%
0.8235294118 1
 
< 0.1%
0.7205882353 2
 
< 0.1%
0.6470588235 6
< 0.1%
Distinct345
Distinct (%)2.9%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5514386292
Minimum0
Maximum1
Zeros12
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:00.199874image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3552311436
Q10.4695863747
median0.5498783455
Q30.6326034063
95-th percentile0.7591240876
Maximum1
Range1
Interquartile range (IQR)0.1630170316

Descriptive statistics

Standard deviation0.1269972218
Coefficient of variation (CV)0.230301642
Kurtosis0.6620168452
Mean0.5514386292
Median Absolute Deviation (MAD)0.08272506083
Skewness0.003094286197
Sum6479.403893
Variance0.01612829434
MonotonicityNot monotonic
2023-05-05T18:10:00.380816image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5474452555 115
 
0.7%
0.5742092457 109
 
0.6%
0.5377128954 105
 
0.6%
0.5547445255 104
 
0.6%
0.5644768856 103
 
0.6%
0.5839416058 103
 
0.6%
0.5401459854 103
 
0.6%
0.5863746959 102
 
0.6%
0.501216545 102
 
0.6%
0.5352798054 101
 
0.6%
Other values (335) 10703
63.3%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 12
0.1%
0.06569343066 1
 
< 0.1%
0.07299270073 1
 
< 0.1%
0.08515815085 1
 
< 0.1%
0.09489051095 2
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9902676399 1
< 0.1%
0.9878345499 1
< 0.1%
0.9854014599 1
< 0.1%
0.9683698297 1
< 0.1%
Distinct294
Distinct (%)2.5%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.6973918302
Minimum0
Maximum0.9974160207
Zeros8
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:00.570755image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.488372093
Q10.6434108527
median0.7209302326
Q30.7745478036
95-th percentile0.842377261
Maximum0.9974160207
Range0.9974160207
Interquartile range (IQR)0.1311369509

Descriptive statistics

Standard deviation0.1154526777
Coefficient of variation (CV)0.165549226
Kurtosis3.379075423
Mean0.6973918302
Median Absolute Deviation (MAD)0.06201550388
Skewness-1.341286744
Sum8194.354005
Variance0.01332932079
MonotonicityNot monotonic
2023-05-05T18:10:00.773691image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7855297158 170
 
1.0%
0.7545219638 166
 
1.0%
0.7674418605 160
 
0.9%
0.7519379845 159
 
0.9%
0.7493540052 157
 
0.9%
0.7648578811 156
 
0.9%
0.7700258398 156
 
0.9%
0.7441860465 155
 
0.9%
0.7803617571 152
 
0.9%
0.7596899225 148
 
0.9%
Other values (284) 10171
60.2%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 8
< 0.1%
0.1343669251 7
< 0.1%
0.1472868217 1
 
< 0.1%
0.1524547804 10
0.1%
0.1550387597 2
 
< 0.1%
ValueCountFrequency (%)
0.9974160207 1
 
< 0.1%
0.9948320413 2
< 0.1%
0.992248062 1
 
< 0.1%
0.9870801034 2
< 0.1%
0.9819121447 3
< 0.1%
Distinct173
Distinct (%)1.5%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.2675653791
Minimum0
Maximum1
Zeros108
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:00.964629image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.07281553398
Q10.1310679612
median0.2427184466
Q30.3689320388
95-th percentile0.5631067961
Maximum1
Range1
Interquartile range (IQR)0.2378640777

Descriptive statistics

Standard deviation0.156999545
Coefficient of variation (CV)0.5867707757
Kurtosis0.2788012758
Mean0.2675653791
Median Absolute Deviation (MAD)0.1165048544
Skewness0.8108761707
Sum3143.893204
Variance0.02464885714
MonotonicityNot monotonic
2023-05-05T18:10:01.143131image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1213592233 632
 
3.7%
0.1019417476 250
 
1.5%
0.1067961165 248
 
1.5%
0.2427184466 213
 
1.3%
0.1116504854 180
 
1.1%
0.08737864078 178
 
1.1%
0.1650485437 178
 
1.1%
0.1893203883 175
 
1.0%
0.1165048544 169
 
1.0%
0.1796116505 167
 
1.0%
Other values (163) 9360
55.4%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 108
0.6%
0.04368932039 1
 
< 0.1%
0.04854368932 17
 
0.1%
0.05339805825 60
0.4%
0.05825242718 104
0.6%
ValueCountFrequency (%)
1 1
< 0.1%
0.9854368932 2
< 0.1%
0.9466019417 1
< 0.1%
0.9174757282 1
< 0.1%
0.8737864078 1
< 0.1%

sliding_tackle_away_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct53
Distinct (%)0.5%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.238147211
Minimum0
Maximum1
Zeros261
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:01.337070image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1081081081
Q10.1486486486
median0.2162162162
Q30.3378378378
95-th percentile0.3783783784
Maximum1
Range1
Interquartile range (IQR)0.1891891892

Descriptive statistics

Standard deviation0.1099546333
Coefficient of variation (CV)0.4617086753
Kurtosis2.656473698
Mean0.238147211
Median Absolute Deviation (MAD)0.08108108108
Skewness0.8581487661
Sum2798.22973
Variance0.01209002139
MonotonicityNot monotonic
2023-05-05T18:10:01.525009image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3378378378 3377
20.0%
0.1486486486 1137
 
6.7%
0.1621621622 959
 
5.7%
0.1756756757 906
 
5.4%
0.1216216216 672
 
4.0%
0.1891891892 650
 
3.8%
0.1081081081 463
 
2.7%
0.2567567568 450
 
2.7%
0.2162162162 391
 
2.3%
0.1351351351 364
 
2.2%
Other values (43) 2381
14.1%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 261
1.5%
0.02702702703 2
 
< 0.1%
0.05405405405 11
 
0.1%
0.06756756757 2
 
< 0.1%
0.08108108108 43
 
0.3%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9459459459 1
 
< 0.1%
0.9324324324 1
 
< 0.1%
0.8513513514 1
 
< 0.1%
0.8378378378 27
0.2%
Distinct351
Distinct (%)3.0%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5165910952
Minimum0
Maximum1
Zeros6
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:01.741941image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.325415677
Q10.4346793349
median0.5106888361
Q30.593824228
95-th percentile0.7268408551
Maximum1
Range1
Interquartile range (IQR)0.1591448931

Descriptive statistics

Standard deviation0.1240941116
Coefficient of variation (CV)0.2402172874
Kurtosis0.6511060759
Mean0.5165910952
Median Absolute Deviation (MAD)0.0783847981
Skewness0.1961374246
Sum6069.945368
Variance0.01539934852
MonotonicityNot monotonic
2023-05-05T18:10:02.025849image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4703087886 111
 
0.7%
0.5249406176 111
 
0.7%
0.5059382423 108
 
0.6%
0.4798099762 108
 
0.6%
0.4916864608 108
 
0.6%
0.4845605701 108
 
0.6%
0.4964370546 107
 
0.6%
0.5296912114 107
 
0.6%
0.5083135392 105
 
0.6%
0.4988123515 101
 
0.6%
Other values (341) 10676
63.2%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 6
< 0.1%
0.06175771971 1
 
< 0.1%
0.06413301663 1
 
< 0.1%
0.07363420428 2
 
< 0.1%
0.09263657957 1
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9904988124 1
< 0.1%
0.9833729216 2
< 0.1%
0.9691211401 1
< 0.1%
0.9667458432 1
< 0.1%
Distinct298
Distinct (%)2.5%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.6725163687
Minimum0
Maximum0.9925187032
Zeros11
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:02.233783image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4688279302
Q10.6209476309
median0.6957605985
Q30.7456359102
95-th percentile0.8079800499
Maximum0.9925187032
Range0.9925187032
Interquartile range (IQR)0.1246882793

Descriptive statistics

Standard deviation0.1113619678
Coefficient of variation (CV)0.1655899738
Kurtosis3.780090029
Mean0.6725163687
Median Absolute Deviation (MAD)0.05985037406
Skewness-1.429378075
Sum7902.067332
Variance0.01240148788
MonotonicityNot monotonic
2023-05-05T18:10:02.461712image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7406483791 200
 
1.2%
0.753117207 174
 
1.0%
0.7581047382 162
 
1.0%
0.72319202 160
 
0.9%
0.7256857855 155
 
0.9%
0.7381546135 155
 
0.9%
0.7481296758 154
 
0.9%
0.7331670823 153
 
0.9%
0.7431421446 153
 
0.9%
0.7281795511 152
 
0.9%
Other values (288) 10132
60.0%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 11
0.1%
0.1172069825 1
 
< 0.1%
0.1246882793 1
 
< 0.1%
0.1296758105 1
 
< 0.1%
0.1321695761 1
 
< 0.1%
ValueCountFrequency (%)
0.9925187032 1
< 0.1%
0.9900249377 1
< 0.1%
0.9725685786 1
< 0.1%
0.9650872818 1
< 0.1%
0.9600997506 1
< 0.1%
Distinct170
Distinct (%)1.4%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.2592191891
Minimum0
Maximum1
Zeros113
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:02.650705image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.07547169811
Q10.1320754717
median0.2358490566
Q30.3537735849
95-th percentile0.5377358491
Maximum1
Range1
Interquartile range (IQR)0.2216981132

Descriptive statistics

Standard deviation0.1479211567
Coefficient of variation (CV)0.5706412293
Kurtosis0.2100112524
Mean0.2592191891
Median Absolute Deviation (MAD)0.1132075472
Skewness0.7637513448
Sum3045.825472
Variance0.02188066861
MonotonicityNot monotonic
2023-05-05T18:10:02.837697image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1179245283 655
 
3.9%
0.1037735849 254
 
1.5%
0.09905660377 225
 
1.3%
0.2358490566 220
 
1.3%
0.1745283019 193
 
1.1%
0.1698113208 188
 
1.1%
0.108490566 183
 
1.1%
0.1509433962 177
 
1.0%
0.3113207547 160
 
0.9%
0.1132075472 159
 
0.9%
Other values (160) 9336
55.2%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 113
0.7%
0.04716981132 15
 
0.1%
0.05188679245 61
0.4%
0.05660377358 91
0.5%
0.06132075472 91
0.5%
ValueCountFrequency (%)
1 1
< 0.1%
0.8679245283 2
< 0.1%
0.8632075472 1
< 0.1%
0.8537735849 1
< 0.1%
0.8490566038 1
< 0.1%

sliding_tackle_home_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct51
Distinct (%)0.4%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.2261363884
Minimum0
Maximum1
Zeros246
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:03.039139image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1025641026
Q10.141025641
median0.2051282051
Q30.3205128205
95-th percentile0.358974359
Maximum1
Range1
Interquartile range (IQR)0.1794871795

Descriptive statistics

Standard deviation0.1039993322
Coefficient of variation (CV)0.4598964938
Kurtosis2.928033108
Mean0.2261363884
Median Absolute Deviation (MAD)0.07692307692
Skewness0.8913074323
Sum2657.102564
Variance0.01081586109
MonotonicityNot monotonic
2023-05-05T18:10:03.237075image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3205128205 3387
20.0%
0.141025641 1135
 
6.7%
0.1538461538 966
 
5.7%
0.1666666667 962
 
5.7%
0.1153846154 676
 
4.0%
0.1794871795 648
 
3.8%
0.2435897436 432
 
2.6%
0.1025641026 423
 
2.5%
0.2051282051 393
 
2.3%
0.1282051282 353
 
2.1%
Other values (41) 2375
14.1%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 246
1.5%
0.02564102564 1
 
< 0.1%
0.05128205128 14
 
0.1%
0.0641025641 4
 
< 0.1%
0.07692307692 54
 
0.3%
ValueCountFrequency (%)
1 2
 
< 0.1%
0.8846153846 2
 
< 0.1%
0.8076923077 1
 
< 0.1%
0.7948717949 27
0.2%
0.7307692308 8
 
< 0.1%
Distinct346
Distinct (%)2.9%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.5131405884
Minimum0
Maximum0.9880382775
Zeros12
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:03.480997image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3253588517
Q10.4330143541
median0.509569378
Q30.5861244019
95-th percentile0.7200956938
Maximum0.9880382775
Range0.9880382775
Interquartile range (IQR)0.1531100478

Descriptive statistics

Standard deviation0.1229269548
Coefficient of variation (CV)0.2395580424
Kurtosis0.8327329068
Mean0.5131405884
Median Absolute Deviation (MAD)0.07655502392
Skewness0.1888462789
Sum6029.401914
Variance0.01511103622
MonotonicityNot monotonic
2023-05-05T18:10:03.674935image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4832535885 123
 
0.7%
0.4641148325 118
 
0.7%
0.495215311 117
 
0.7%
0.519138756 116
 
0.7%
0.5502392344 115
 
0.7%
0.4736842105 114
 
0.7%
0.528708134 113
 
0.7%
0.514354067 113
 
0.7%
0.533492823 112
 
0.7%
0.471291866 112
 
0.7%
Other values (336) 10597
62.7%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 12
0.1%
0.06459330144 2
 
< 0.1%
0.08133971292 2
 
< 0.1%
0.09090909091 1
 
< 0.1%
0.09330143541 3
 
< 0.1%
ValueCountFrequency (%)
0.9880382775 1
< 0.1%
0.9832535885 1
< 0.1%
0.9736842105 1
< 0.1%
0.966507177 1
< 0.1%
0.9641148325 1
< 0.1%

gk_diving_away_defense
Real number (ℝ)

Distinct73
Distinct (%)0.6%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.3607438625
Minimum0
Maximum1
Zeros8
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:03.896864image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2115384615
Q10.3076923077
median0.3653846154
Q30.4134615385
95-th percentile0.4903846154
Maximum1
Range1
Interquartile range (IQR)0.1057692308

Descriptive statistics

Standard deviation0.08602072769
Coefficient of variation (CV)0.2384537524
Kurtosis1.314722708
Mean0.3607438625
Median Absolute Deviation (MAD)0.05769230769
Skewness-0.3229952713
Sum4238.740385
Variance0.007399565592
MonotonicityNot monotonic
2023-05-05T18:10:04.085804image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4038461538 579
 
3.4%
0.375 572
 
3.4%
0.3461538462 568
 
3.4%
0.3942307692 565
 
3.3%
0.3365384615 555
 
3.3%
0.4134615385 529
 
3.1%
0.3557692308 513
 
3.0%
0.3653846154 507
 
3.0%
0.3846153846 502
 
3.0%
0.4230769231 447
 
2.6%
Other values (63) 6413
38.0%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 8
< 0.1%
0.009615384615 7
< 0.1%
0.02884615385 5
< 0.1%
0.04807692308 6
< 0.1%
0.05769230769 3
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9615384615 1
< 0.1%
0.875 1
< 0.1%
0.7980769231 1
< 0.1%
0.7019230769 1
< 0.1%

gk_diving_away_forward
Real number (ℝ)

Distinct61
Distinct (%)0.5%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.1985588652
Minimum0
Maximum0.9777777778
Zeros108
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:04.291739image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.06666666667
Q10.1222222222
median0.1777777778
Q30.2666666667
95-th percentile0.3888888889
Maximum0.9777777778
Range0.9777777778
Interquartile range (IQR)0.1444444444

Descriptive statistics

Standard deviation0.1034621602
Coefficient of variation (CV)0.5210654285
Kurtosis0.6397999098
Mean0.1985588652
Median Absolute Deviation (MAD)0.07777777778
Skewness0.6685172986
Sum2333.066667
Variance0.01070441859
MonotonicityNot monotonic
2023-05-05T18:10:04.477708image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1555555556 670
 
4.0%
0.1333333333 575
 
3.4%
0.1222222222 568
 
3.4%
0.1444444444 546
 
3.2%
0.1666666667 474
 
2.8%
0.08888888889 469
 
2.8%
0.06666666667 457
 
2.7%
0.1 453
 
2.7%
0.1111111111 445
 
2.6%
0.2 425
 
2.5%
Other values (51) 6668
39.5%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 108
0.6%
0.01111111111 17
 
0.1%
0.02222222222 32
 
0.2%
0.03333333333 42
 
0.2%
0.04444444444 44
0.3%
ValueCountFrequency (%)
0.9777777778 1
< 0.1%
0.8888888889 1
< 0.1%
0.8444444444 1
< 0.1%
0.8333333333 1
< 0.1%
0.8222222222 1
< 0.1%

gk_diving_away_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct55
Distinct (%)0.5%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.7733444998
Minimum0
Maximum1
Zeros261
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:04.669730image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.6382978723
Q10.7234042553
median0.7978723404
Q30.8510638298
95-th percentile0.914893617
Maximum1
Range1
Interquartile range (IQR)0.1276595745

Descriptive statistics

Standard deviation0.1418779367
Coefficient of variation (CV)0.1834602001
Kurtosis17.16810472
Mean0.7733444998
Median Absolute Deviation (MAD)0.06382978723
Skewness-3.576760485
Sum9086.797872
Variance0.02012934891
MonotonicityNot monotonic
2023-05-05T18:10:04.845726image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.829787234 690
 
4.1%
0.8510638298 619
 
3.7%
0.7978723404 587
 
3.5%
0.8085106383 552
 
3.3%
0.8191489362 550
 
3.3%
0.8723404255 531
 
3.1%
0.7659574468 529
 
3.1%
0.7872340426 509
 
3.0%
0.8617021277 479
 
2.8%
0.7553191489 467
 
2.8%
Other values (45) 6237
36.9%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 261
1.5%
0.06382978723 2
 
< 0.1%
0.07446808511 1
 
< 0.1%
0.1276595745 1
 
< 0.1%
0.1382978723 1
 
< 0.1%
ValueCountFrequency (%)
1 22
 
0.1%
0.9893617021 19
 
0.1%
0.9787234043 7
 
< 0.1%
0.9680851064 54
0.3%
0.9574468085 55
0.3%

gk_diving_away_midfielder
Real number (ℝ)

Distinct78
Distinct (%)0.7%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4619254068
Minimum0
Maximum1
Zeros6
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:05.025769image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2470588235
Q10.3647058824
median0.4588235294
Q30.5529411765
95-th percentile0.6823529412
Maximum1
Range1
Interquartile range (IQR)0.1882352941

Descriptive statistics

Standard deviation0.1343577154
Coefficient of variation (CV)0.2908645279
Kurtosis-0.2526719498
Mean0.4619254068
Median Absolute Deviation (MAD)0.09411764706
Skewness-0.009458382474
Sum5427.623529
Variance0.01805199568
MonotonicityNot monotonic
2023-05-05T18:10:05.228731image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5058823529 404
 
2.4%
0.4235294118 401
 
2.4%
0.4588235294 382
 
2.3%
0.4823529412 375
 
2.2%
0.4 372
 
2.2%
0.4117647059 371
 
2.2%
0.4352941176 365
 
2.2%
0.3882352941 363
 
2.1%
0.3764705882 361
 
2.1%
0.5176470588 359
 
2.1%
Other values (68) 7997
47.3%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 6
< 0.1%
0.01176470588 1
 
< 0.1%
0.02352941176 5
< 0.1%
0.04705882353 1
 
< 0.1%
0.05882352941 5
< 0.1%
ValueCountFrequency (%)
1 2
< 0.1%
0.9882352941 1
< 0.1%
0.9764705882 2
< 0.1%
0.9529411765 1
< 0.1%
0.8823529412 1
< 0.1%

gk_diving_home_defense
Real number (ℝ)

Distinct74
Distinct (%)0.6%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.3906223404
Minimum0
Maximum1
Zeros11
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:05.413725image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2291666667
Q10.3333333333
median0.3958333333
Q30.4479166667
95-th percentile0.53125
Maximum1
Range1
Interquartile range (IQR)0.1145833333

Descriptive statistics

Standard deviation0.09374943352
Coefficient of variation (CV)0.2400001839
Kurtosis1.022745622
Mean0.3906223404
Median Absolute Deviation (MAD)0.0625
Skewness-0.4445993779
Sum4589.8125
Variance0.008788956286
MonotonicityNot monotonic
2023-05-05T18:10:05.595723image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4375 590
 
3.5%
0.4270833333 578
 
3.4%
0.4479166667 543
 
3.2%
0.40625 538
 
3.2%
0.375 533
 
3.2%
0.3645833333 527
 
3.1%
0.4166666667 522
 
3.1%
0.3854166667 520
 
3.1%
0.3958333333 513
 
3.0%
0.4583333333 448
 
2.7%
Other values (64) 6438
38.1%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 11
0.1%
0.01041666667 9
0.1%
0.02083333333 4
 
< 0.1%
0.03125 5
< 0.1%
0.04166666667 1
 
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.7604166667 1
 
< 0.1%
0.75 1
 
< 0.1%
0.7395833333 1
 
< 0.1%
0.7291666667 3
< 0.1%

gk_diving_home_forward
Real number (ℝ)

Distinct56
Distinct (%)0.5%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.2051005803
Minimum0
Maximum1
Zeros113
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:05.772700image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.06818181818
Q10.125
median0.1931818182
Q30.2727272727
95-th percentile0.3977272727
Maximum1
Range1
Interquartile range (IQR)0.1477272727

Descriptive statistics

Standard deviation0.1031471511
Coefficient of variation (CV)0.5029100892
Kurtosis0.2544318875
Mean0.2051005803
Median Absolute Deviation (MAD)0.07954545455
Skewness0.5642348355
Sum2409.931818
Variance0.01063933478
MonotonicityNot monotonic
2023-05-05T18:10:05.945719image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1590909091 655
 
3.9%
0.1477272727 574
 
3.4%
0.1363636364 574
 
3.4%
0.125 551
 
3.3%
0.1704545455 514
 
3.0%
0.2159090909 438
 
2.6%
0.2386363636 438
 
2.6%
0.2727272727 437
 
2.6%
0.09090909091 434
 
2.6%
0.1022727273 420
 
2.5%
Other values (46) 6715
39.7%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 113
0.7%
0.01136363636 7
 
< 0.1%
0.02272727273 30
 
0.2%
0.03409090909 38
 
0.2%
0.04545454545 25
 
0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.8409090909 2
< 0.1%
0.7613636364 3
< 0.1%
0.625 1
 
< 0.1%
0.6136363636 1
 
< 0.1%

gk_diving_home_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct52
Distinct (%)0.4%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.7749868719
Minimum0
Maximum1
Zeros246
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:06.125716image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.6489361702
Q10.7234042553
median0.7978723404
Q30.8510638298
95-th percentile0.914893617
Maximum1
Range1
Interquartile range (IQR)0.1276595745

Descriptive statistics

Standard deviation0.1383979685
Coefficient of variation (CV)0.178581049
Kurtosis18.03527146
Mean0.7749868719
Median Absolute Deviation (MAD)0.06382978723
Skewness-3.632724956
Sum9106.095745
Variance0.01915399769
MonotonicityNot monotonic
2023-05-05T18:10:06.296717image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.829787234 701
 
4.1%
0.8510638298 613
 
3.6%
0.7978723404 574
 
3.4%
0.8723404255 570
 
3.4%
0.8085106383 558
 
3.3%
0.7659574468 546
 
3.2%
0.8191489362 540
 
3.2%
0.7872340426 495
 
2.9%
0.7553191489 471
 
2.8%
0.8617021277 463
 
2.7%
Other values (42) 6219
36.8%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 246
1.5%
0.1382978723 2
 
< 0.1%
0.2021276596 2
 
< 0.1%
0.3723404255 4
 
< 0.1%
0.4893617021 1
 
< 0.1%
ValueCountFrequency (%)
1 27
0.2%
0.9893617021 21
 
0.1%
0.9787234043 2
 
< 0.1%
0.9680851064 53
0.3%
0.9574468085 47
0.3%

gk_diving_home_midfielder
Real number (ℝ)

Distinct76
Distinct (%)0.6%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.3833216521
Minimum0
Maximum1
Zeros12
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:06.490708image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2058823529
Q10.3039215686
median0.3823529412
Q30.4607843137
95-th percentile0.568627451
Maximum1
Range1
Interquartile range (IQR)0.1568627451

Descriptive statistics

Standard deviation0.1130727785
Coefficient of variation (CV)0.2949814547
Kurtosis-0.2372309632
Mean0.3833216521
Median Absolute Deviation (MAD)0.07843137255
Skewness0.03742076133
Sum4504.029412
Variance0.01278545325
MonotonicityNot monotonic
2023-05-05T18:10:06.691718image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.362745098 389
 
2.3%
0.4019607843 388
 
2.3%
0.3431372549 387
 
2.3%
0.3529411765 386
 
2.3%
0.3725490196 381
 
2.3%
0.4215686275 378
 
2.2%
0.3333333333 368
 
2.2%
0.3137254902 365
 
2.2%
0.3823529412 363
 
2.1%
0.3235294118 351
 
2.1%
Other values (66) 7994
47.3%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 12
0.1%
0.009803921569 1
 
< 0.1%
0.01960784314 1
 
< 0.1%
0.04901960784 6
< 0.1%
0.05882352941 4
 
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.8333333333 1
 
< 0.1%
0.7745098039 1
 
< 0.1%
0.7647058824 1
 
< 0.1%
0.7352941176 5
< 0.1%

gk_handling_away_defense
Real number (ℝ)

Distinct106
Distinct (%)0.9%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.3437045593
Minimum0
Maximum1
Zeros8
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:06.872747image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1928571429
Q10.25
median0.3
Q30.3714285714
95-th percentile0.6285714286
Maximum1
Range1
Interquartile range (IQR)0.1214285714

Descriptive statistics

Standard deviation0.1381498097
Coefficient of variation (CV)0.4019434888
Kurtosis0.2979816348
Mean0.3437045593
Median Absolute Deviation (MAD)0.05
Skewness1.122338456
Sum4038.528571
Variance0.01908536992
MonotonicityNot monotonic
2023-05-05T18:10:07.047755image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2857142857 489
 
2.9%
0.2785714286 484
 
2.9%
0.25 477
 
2.8%
0.2642857143 470
 
2.8%
0.3071428571 470
 
2.8%
0.2928571429 467
 
2.8%
0.3142857143 434
 
2.6%
0.2714285714 421
 
2.5%
0.3 419
 
2.5%
0.2428571429 404
 
2.4%
Other values (96) 7215
42.7%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 8
< 0.1%
0.03571428571 1
 
< 0.1%
0.05 14
0.1%
0.05714285714 2
 
< 0.1%
0.06428571429 2
 
< 0.1%
ValueCountFrequency (%)
1 2
 
< 0.1%
0.9928571429 1
 
< 0.1%
0.9571428571 1
 
< 0.1%
0.8357142857 5
< 0.1%
0.8214285714 2
 
< 0.1%

gk_handling_away_forward
Real number (ℝ)

Distinct76
Distinct (%)0.6%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.1958865248
Minimum0
Maximum1
Zeros108
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:07.225718image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.05
Q10.1083333333
median0.175
Q30.2583333333
95-th percentile0.3833333333
Maximum1
Range1
Interquartile range (IQR)0.15

Descriptive statistics

Standard deviation0.1144246983
Coefficient of variation (CV)0.5841376707
Kurtosis0.991619918
Mean0.1958865248
Median Absolute Deviation (MAD)0.075
Skewness0.9685433474
Sum2301.666667
Variance0.01309301159
MonotonicityNot monotonic
2023-05-05T18:10:07.400749image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1666666667 512
 
3.0%
0.175 509
 
3.0%
0.1833333333 499
 
3.0%
0.125 497
 
2.9%
0.1083333333 424
 
2.5%
0.09166666667 419
 
2.5%
0.1916666667 409
 
2.4%
0.1166666667 409
 
2.4%
0.08333333333 402
 
2.4%
0.1 393
 
2.3%
Other values (66) 7277
43.1%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 108
0.6%
0.008333333333 3
 
< 0.1%
0.01666666667 2
 
< 0.1%
0.025 5
 
< 0.1%
0.03333333333 12
 
0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.75 1
 
< 0.1%
0.6583333333 1
 
< 0.1%
0.6166666667 1
 
< 0.1%
0.6083333333 3
< 0.1%

gk_handling_away_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct57
Distinct (%)0.5%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.7535411656
Minimum0
Maximum1
Zeros261
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:07.578747image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.597826087
Q10.7065217391
median0.7717391304
Q30.8260869565
95-th percentile0.8913043478
Maximum1
Range1
Interquartile range (IQR)0.1195652174

Descriptive statistics

Standard deviation0.1415843151
Coefficient of variation (CV)0.1878919449
Kurtosis15.33373576
Mean0.7535411656
Median Absolute Deviation (MAD)0.0652173913
Skewness-3.322268261
Sum8854.108696
Variance0.0200461183
MonotonicityNot monotonic
2023-05-05T18:10:07.751743image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7391304348 618
 
3.7%
0.8152173913 618
 
3.7%
0.7826086957 607
 
3.6%
0.7608695652 598
 
3.5%
0.7717391304 568
 
3.4%
0.7934782609 527
 
3.1%
0.8043478261 526
 
3.1%
0.8260869565 492
 
2.9%
0.8369565217 491
 
2.9%
0.8586956522 458
 
2.7%
Other values (47) 6247
37.0%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 261
1.5%
0.1413043478 2
 
< 0.1%
0.2173913043 1
 
< 0.1%
0.2282608696 1
 
< 0.1%
0.2391304348 1
 
< 0.1%
ValueCountFrequency (%)
1 10
 
0.1%
0.9891304348 6
 
< 0.1%
0.9673913043 24
 
0.1%
0.9565217391 37
 
0.2%
0.9456521739 98
0.6%
Distinct113
Distinct (%)1.0%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4283640265
Minimum0
Maximum1
Zeros6
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:07.929741image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2100840336
Q10.3025210084
median0.3865546218
Q30.5042016807
95-th percentile0.7647058824
Maximum1
Range1
Interquartile range (IQR)0.2016806723

Descriptive statistics

Standard deviation0.1784859332
Coefficient of variation (CV)0.4166688193
Kurtosis0.565519416
Mean0.4283640265
Median Absolute Deviation (MAD)0.09243697479
Skewness1.041215396
Sum5033.277311
Variance0.03185722833
MonotonicityNot monotonic
2023-05-05T18:10:08.127736image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3781512605 330
 
2.0%
0.3529411765 330
 
2.0%
0.3193277311 314
 
1.9%
0.3865546218 312
 
1.8%
0.3025210084 312
 
1.8%
0.3949579832 296
 
1.8%
0.3445378151 293
 
1.7%
0.3613445378 282
 
1.7%
0.4033613445 282
 
1.7%
0.3697478992 281
 
1.7%
Other values (103) 8718
51.6%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 6
< 0.1%
0.04201680672 1
 
< 0.1%
0.05042016807 1
 
< 0.1%
0.08403361345 4
< 0.1%
0.09243697479 1
 
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9915966387 1
 
< 0.1%
0.9831932773 4
< 0.1%
0.974789916 8
< 0.1%
0.9663865546 9
0.1%

gk_handling_home_defense
Real number (ℝ)

Distinct102
Distinct (%)0.9%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.3676069514
Minimum0
Maximum0.9770992366
Zeros11
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:08.329185image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.213740458
Q10.2748091603
median0.320610687
Q30.3969465649
95-th percentile0.6717557252
Maximum0.9770992366
Range0.9770992366
Interquartile range (IQR)0.1221374046

Descriptive statistics

Standard deviation0.1459299602
Coefficient of variation (CV)0.3969727983
Kurtosis0.2024054092
Mean0.3676069514
Median Absolute Deviation (MAD)0.0534351145
Skewness1.094842202
Sum4319.381679
Variance0.02129555328
MonotonicityNot monotonic
2023-05-05T18:10:08.520125image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3053435115 513
 
3.0%
0.3129770992 500
 
3.0%
0.2977099237 483
 
2.9%
0.320610687 473
 
2.8%
0.3282442748 466
 
2.8%
0.2671755725 464
 
2.7%
0.2824427481 449
 
2.7%
0.2748091603 437
 
2.6%
0.2900763359 421
 
2.5%
0.3358778626 392
 
2.3%
Other values (92) 7152
42.3%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 11
0.1%
0.0534351145 6
< 0.1%
0.06106870229 3
 
< 0.1%
0.06870229008 2
 
< 0.1%
0.07633587786 5
< 0.1%
ValueCountFrequency (%)
0.9770992366 1
 
< 0.1%
0.893129771 3
< 0.1%
0.8854961832 2
< 0.1%
0.8778625954 1
 
< 0.1%
0.8702290076 4
< 0.1%

gk_handling_home_forward
Real number (ℝ)

Distinct73
Distinct (%)0.6%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.2551690689
Minimum0
Maximum1
Zeros113
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:08.711062image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.06451612903
Q10.1397849462
median0.2258064516
Q30.3333333333
95-th percentile0.4946236559
Maximum1
Range1
Interquartile range (IQR)0.1935483871

Descriptive statistics

Standard deviation0.1484860927
Coefficient of variation (CV)0.5819125859
Kurtosis0.739947367
Mean0.2551690689
Median Absolute Deviation (MAD)0.09677419355
Skewness0.9266917152
Sum2998.236559
Variance0.02204811972
MonotonicityNot monotonic
2023-05-05T18:10:08.884007image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2150537634 507
 
3.0%
0.2258064516 496
 
2.9%
0.2365591398 481
 
2.8%
0.1612903226 449
 
2.7%
0.1075268817 433
 
2.6%
0.1505376344 430
 
2.5%
0.1397849462 421
 
2.5%
0.247311828 412
 
2.4%
0.1182795699 392
 
2.3%
0.1290322581 383
 
2.3%
Other values (63) 7346
43.5%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 113
0.7%
0.01075268817 1
 
< 0.1%
0.02150537634 5
 
< 0.1%
0.03225806452 3
 
< 0.1%
0.04301075269 5
 
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.7741935484 1
 
< 0.1%
0.7634408602 5
 
< 0.1%
0.752688172 6
 
< 0.1%
0.7419354839 29
0.2%

gk_handling_home_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct55
Distinct (%)0.5%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.7552960222
Minimum0
Maximum1
Zeros246
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:09.058953image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.597826087
Q10.7065217391
median0.7717391304
Q30.8369565217
95-th percentile0.8913043478
Maximum1
Range1
Interquartile range (IQR)0.1304347826

Descriptive statistics

Standard deviation0.1388719998
Coefficient of variation (CV)0.1838643337
Kurtosis15.84293772
Mean0.7552960222
Median Absolute Deviation (MAD)0.0652173913
Skewness-3.346212917
Sum8874.728261
Variance0.01928543234
MonotonicityNot monotonic
2023-05-05T18:10:09.256888image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8152173913 637
 
3.8%
0.7826086957 610
 
3.6%
0.7608695652 590
 
3.5%
0.7717391304 589
 
3.5%
0.8043478261 561
 
3.3%
0.7391304348 558
 
3.3%
0.7934782609 522
 
3.1%
0.8369565217 490
 
2.9%
0.8586956522 482
 
2.9%
0.8260869565 468
 
2.8%
Other values (45) 6243
36.9%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 246
1.5%
0.1413043478 2
 
< 0.1%
0.2282608696 2
 
< 0.1%
0.402173913 4
 
< 0.1%
0.4347826087 1
 
< 0.1%
ValueCountFrequency (%)
1 7
 
< 0.1%
0.9891304348 6
 
< 0.1%
0.9673913043 27
 
0.2%
0.9565217391 43
0.3%
0.9456521739 96
0.6%
Distinct110
Distinct (%)0.9%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.3734762203
Minimum0
Maximum1
Zeros12
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:09.446830image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1838235294
Q10.2647058824
median0.3382352941
Q30.4338235294
95-th percentile0.6691176471
Maximum1
Range1
Interquartile range (IQR)0.1691176471

Descriptive statistics

Standard deviation0.1552429525
Coefficient of variation (CV)0.4156702464
Kurtosis0.5770917003
Mean0.3734762203
Median Absolute Deviation (MAD)0.08088235294
Skewness1.038162767
Sum4388.345588
Variance0.0241003743
MonotonicityNot monotonic
2023-05-05T18:10:09.667810image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2647058824 335
 
2.0%
0.3088235294 323
 
1.9%
0.3455882353 316
 
1.9%
0.3161764706 314
 
1.9%
0.2794117647 312
 
1.8%
0.3014705882 310
 
1.8%
0.3235294118 306
 
1.8%
0.3382352941 293
 
1.7%
0.2573529412 286
 
1.7%
0.3308823529 279
 
1.7%
Other values (100) 8676
51.3%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 12
0.1%
0.07352941176 4
 
< 0.1%
0.08088235294 1
 
< 0.1%
0.08823529412 2
 
< 0.1%
0.09558823529 2
 
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.8602941176 4
 
< 0.1%
0.8529411765 6
 
< 0.1%
0.8455882353 5
 
< 0.1%
0.8382352941 15
0.1%

gk_kicking_away_defense
Real number (ℝ)

Distinct300
Distinct (%)2.6%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.2251440491
Minimum0
Maximum1
Zeros8
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:09.855781image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.07843137255
Q10.1036414566
median0.1204481793
Q30.1540616246
95-th percentile0.7170868347
Maximum1
Range1
Interquartile range (IQR)0.05042016807

Descriptive statistics

Standard deviation0.218241997
Coefficient of variation (CV)0.9693438394
Kurtosis0.5850460327
Mean0.2251440491
Median Absolute Deviation (MAD)0.01960784314
Skewness1.501921271
Sum2645.442577
Variance0.04762956925
MonotonicityNot monotonic
2023-05-05T18:10:10.046779image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1148459384 530
 
3.1%
0.1036414566 524
 
3.1%
0.1120448179 517
 
3.1%
0.1092436975 517
 
3.1%
0.1204481793 467
 
2.8%
0.1232492997 443
 
2.6%
0.1008403361 421
 
2.5%
0.1176470588 412
 
2.4%
0.106442577 397
 
2.3%
0.1260504202 377
 
2.2%
Other values (290) 7145
42.3%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 8
< 0.1%
0.01400560224 2
 
< 0.1%
0.01680672269 5
< 0.1%
0.01960784314 1
 
< 0.1%
0.02521008403 8
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9495798319 1
< 0.1%
0.8795518207 1
< 0.1%
0.8767507003 1
< 0.1%
0.8739495798 1
< 0.1%

gk_kicking_away_forward
Real number (ℝ)

Distinct229
Distinct (%)1.9%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.1509554494
Minimum0
Maximum1
Zeros108
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:10.225774image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.02448979592
Q10.05306122449
median0.08979591837
Q30.1510204082
95-th percentile0.5142857143
Maximum1
Range1
Interquartile range (IQR)0.09795918367

Descriptive statistics

Standard deviation0.1654288377
Coefficient of variation (CV)1.095878541
Kurtosis4.605355168
Mean0.1509554494
Median Absolute Deviation (MAD)0.04489795918
Skewness2.159765781
Sum1773.726531
Variance0.02736670034
MonotonicityNot monotonic
2023-05-05T18:10:10.395772image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.04897959184 423
 
2.5%
0.05306122449 417
 
2.5%
0.05714285714 415
 
2.5%
0.0612244898 408
 
2.4%
0.03265306122 387
 
2.3%
0.02857142857 370
 
2.2%
0.02448979592 355
 
2.1%
0.04489795918 354
 
2.1%
0.04081632653 348
 
2.1%
0.03673469388 334
 
2.0%
Other values (219) 7939
47.0%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 108
0.6%
0.004081632653 3
 
< 0.1%
0.01224489796 7
 
< 0.1%
0.01632653061 4
 
< 0.1%
0.02040816327 242
1.4%
ValueCountFrequency (%)
1 1
< 0.1%
0.9795918367 2
< 0.1%
0.9755102041 2
< 0.1%
0.9714285714 1
< 0.1%
0.9551020408 1
< 0.1%

gk_kicking_away_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct57
Distinct (%)0.5%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.7263052729
Minimum0
Maximum1
Zeros261
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:10.581768image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.5652173913
Q10.6739130435
median0.7391304348
Q30.8043478261
95-th percentile0.8804347826
Maximum1
Range1
Interquartile range (IQR)0.1304347826

Descriptive statistics

Standard deviation0.141636749
Coefficient of variation (CV)0.1950099418
Kurtosis12.97380652
Mean0.7263052729
Median Absolute Deviation (MAD)0.0652173913
Skewness-2.895102384
Sum8534.086957
Variance0.02006096867
MonotonicityNot monotonic
2023-05-05T18:10:10.752802image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7391304348 568
 
3.4%
0.75 567
 
3.4%
0.7065217391 553
 
3.3%
0.7608695652 546
 
3.2%
0.8043478261 529
 
3.1%
0.7282608696 527
 
3.1%
0.7173913043 526
 
3.1%
0.7826086957 524
 
3.1%
0.7717391304 521
 
3.1%
0.8152173913 493
 
2.9%
Other values (47) 6396
37.9%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 261
1.5%
0.05434782609 1
 
< 0.1%
0.0652173913 1
 
< 0.1%
0.3913043478 2
 
< 0.1%
0.4130434783 2
 
< 0.1%
ValueCountFrequency (%)
1 14
 
0.1%
0.9891304348 50
0.3%
0.9782608696 40
0.2%
0.9673913043 11
 
0.1%
0.9565217391 14
 
0.1%
Distinct386
Distinct (%)3.3%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.2083348035
Minimum0
Maximum1
Zeros6
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:10.932780image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.05922551253
Q10.08428246014
median0.1070615034
Q30.145785877
95-th percentile0.6856492027
Maximum1
Range1
Interquartile range (IQR)0.06150341686

Descriptive statistics

Standard deviation0.2147747656
Coefficient of variation (CV)1.0309116
Kurtosis0.9435780476
Mean0.2083348035
Median Absolute Deviation (MAD)0.02733485194
Skewness1.557966757
Sum2447.933941
Variance0.04612819992
MonotonicityNot monotonic
2023-05-05T18:10:11.108805image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.09567198178 313
 
1.9%
0.08883826879 309
 
1.8%
0.08428246014 304
 
1.8%
0.1047835991 299
 
1.8%
0.08656036446 294
 
1.7%
0.0979498861 294
 
1.7%
0.1138952164 292
 
1.7%
0.1025056948 285
 
1.7%
0.08200455581 284
 
1.7%
0.1093394077 282
 
1.7%
Other values (376) 8794
52.0%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 6
< 0.1%
0.01366742597 2
 
< 0.1%
0.01822323462 2
 
< 0.1%
0.02277904328 4
< 0.1%
0.02505694761 1
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9476082005 2
< 0.1%
0.9453302961 1
< 0.1%
0.9248291572 1
< 0.1%
0.9157175399 2
< 0.1%

gk_kicking_home_defense
Real number (ℝ)

Distinct297
Distinct (%)2.5%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.2287623204
Minimum0
Maximum1
Zeros11
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:12.523191image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.07977207977
Q10.1054131054
median0.1225071225
Q30.1566951567
95-th percentile0.7293447293
Maximum1
Range1
Interquartile range (IQR)0.05128205128

Descriptive statistics

Standard deviation0.2209815436
Coefficient of variation (CV)0.9659875068
Kurtosis0.6072229482
Mean0.2287623204
Median Absolute Deviation (MAD)0.01994301994
Skewness1.503632515
Sum2687.957265
Variance0.04883284259
MonotonicityNot monotonic
2023-05-05T18:10:12.696136image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1111111111 536
 
3.2%
0.113960114 514
 
3.0%
0.1168091168 510
 
3.0%
0.1054131054 500
 
3.0%
0.1196581197 458
 
2.7%
0.1225071225 433
 
2.6%
0.1253561254 427
 
2.5%
0.1025641026 422
 
2.5%
0.1082621083 386
 
2.3%
0.1282051282 385
 
2.3%
Other values (287) 7179
42.5%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 11
0.1%
0.01709401709 4
 
< 0.1%
0.02279202279 1
 
< 0.1%
0.02564102564 5
< 0.1%
0.03133903134 2
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9943019943 1
< 0.1%
0.9344729345 1
< 0.1%
0.8945868946 1
< 0.1%
0.8917378917 1
< 0.1%

gk_kicking_home_forward
Real number (ℝ)

Distinct224
Distinct (%)1.9%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.1570391561
Minimum0
Maximum1
Zeros113
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:12.915066image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.02521008403
Q10.05462184874
median0.09663865546
Q30.1554621849
95-th percentile0.5294117647
Maximum1
Range1
Interquartile range (IQR)0.1008403361

Descriptive statistics

Standard deviation0.1706056803
Coefficient of variation (CV)1.086389437
Kurtosis4.175302746
Mean0.1570391561
Median Absolute Deviation (MAD)0.04621848739
Skewness2.089183413
Sum1845.210084
Variance0.02910629815
MonotonicityNot monotonic
2023-05-05T18:10:13.098009image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.05462184874 441
 
2.6%
0.05882352941 410
 
2.4%
0.05042016807 402
 
2.4%
0.02941176471 380
 
2.2%
0.04621848739 378
 
2.2%
0.06302521008 372
 
2.2%
0.03361344538 359
 
2.1%
0.03781512605 336
 
2.0%
0.04201680672 320
 
1.9%
0.08823529412 303
 
1.8%
Other values (214) 8049
47.6%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 113
0.7%
0.004201680672 1
 
< 0.1%
0.01260504202 8
 
< 0.1%
0.01680672269 3
 
< 0.1%
0.02100840336 240
1.4%
ValueCountFrequency (%)
1 2
< 0.1%
0.9831932773 1
< 0.1%
0.9663865546 2
< 0.1%
0.9537815126 2
< 0.1%
0.9495798319 2
< 0.1%

gk_kicking_home_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct58
Distinct (%)0.5%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.7275180389
Minimum0
Maximum1
Zeros246
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:13.336931image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.5760869565
Q10.6739130435
median0.7391304348
Q30.8043478261
95-th percentile0.8804347826
Maximum1
Range1
Interquartile range (IQR)0.1304347826

Descriptive statistics

Standard deviation0.1386674504
Coefficient of variation (CV)0.1906034531
Kurtosis13.49923464
Mean0.7275180389
Median Absolute Deviation (MAD)0.0652173913
Skewness-2.931552617
Sum8548.336957
Variance0.01922866181
MonotonicityNot monotonic
2023-05-05T18:10:13.542866image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7391304348 591
 
3.5%
0.75 580
 
3.4%
0.7826086957 567
 
3.4%
0.7173913043 558
 
3.3%
0.7608695652 550
 
3.3%
0.7065217391 516
 
3.1%
0.7282608696 509
 
3.0%
0.7717391304 505
 
3.0%
0.8152173913 503
 
3.0%
0.8043478261 497
 
2.9%
Other values (48) 6374
37.7%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 246
1.5%
0.0652173913 2
 
< 0.1%
0.3913043478 1
 
< 0.1%
0.402173913 2
 
< 0.1%
0.4130434783 1
 
< 0.1%
ValueCountFrequency (%)
1 10
 
0.1%
0.9891304348 43
0.3%
0.9782608696 37
0.2%
0.9673913043 10
 
0.1%
0.9565217391 11
 
0.1%
Distinct383
Distinct (%)3.3%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.207504677
Minimum0
Maximum1
Zeros12
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:13.758824image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.05922551253
Q10.08428246014
median0.1070615034
Q30.145785877
95-th percentile0.6846241458
Maximum1
Range1
Interquartile range (IQR)0.06150341686

Descriptive statistics

Standard deviation0.213982201
Coefficient of variation (CV)1.03121628
Kurtosis0.9118907907
Mean0.207504677
Median Absolute Deviation (MAD)0.02733485194
Skewness1.550629456
Sum2438.179954
Variance0.04578838236
MonotonicityNot monotonic
2023-05-05T18:10:13.943793image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1025056948 318
 
1.9%
0.08656036446 311
 
1.8%
0.08428246014 302
 
1.8%
0.08200455581 297
 
1.8%
0.1002277904 290
 
1.7%
0.1093394077 288
 
1.7%
0.09339407745 286
 
1.7%
0.08883826879 286
 
1.7%
0.0979498861 285
 
1.7%
0.09111617312 282
 
1.7%
Other values (373) 8805
52.1%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 12
0.1%
0.0159453303 1
 
< 0.1%
0.01822323462 2
 
< 0.1%
0.02277904328 4
 
< 0.1%
0.02505694761 2
 
< 0.1%
ValueCountFrequency (%)
1 3
< 0.1%
0.9772209567 1
 
< 0.1%
0.9521640091 1
 
< 0.1%
0.9498861048 2
< 0.1%
0.9316628702 2
< 0.1%
Distinct107
Distinct (%)0.9%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.33771513
Minimum0
Maximum1
Zeros8
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:14.145810image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1944444444
Q10.25
median0.2986111111
Q30.3611111111
95-th percentile0.6111111111
Maximum1
Range1
Interquartile range (IQR)0.1111111111

Descriptive statistics

Standard deviation0.1317381708
Coefficient of variation (CV)0.3900866709
Kurtosis0.3658043175
Mean0.33771513
Median Absolute Deviation (MAD)0.04861111111
Skewness1.141885948
Sum3968.152778
Variance0.01735494564
MonotonicityNot monotonic
2023-05-05T18:10:14.337805image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2777777778 543
 
3.2%
0.2916666667 506
 
3.0%
0.2708333333 494
 
2.9%
0.2847222222 493
 
2.9%
0.2986111111 476
 
2.8%
0.3125 446
 
2.6%
0.25 443
 
2.6%
0.2638888889 421
 
2.5%
0.3055555556 418
 
2.5%
0.2569444444 414
 
2.4%
Other values (97) 7096
42.0%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 8
< 0.1%
0.04166666667 2
 
< 0.1%
0.04861111111 2
 
< 0.1%
0.05555555556 4
< 0.1%
0.0625 4
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9791666667 1
 
< 0.1%
0.9722222222 2
 
< 0.1%
0.7916666667 5
< 0.1%
0.7847222222 1
 
< 0.1%
Distinct77
Distinct (%)0.7%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.2016747456
Minimum0
Maximum1
Zeros108
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:14.537796image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.05217391304
Q10.1043478261
median0.1826086957
Q30.2695652174
95-th percentile0.4
Maximum1
Range1
Interquartile range (IQR)0.1652173913

Descriptive statistics

Standard deviation0.1221501317
Coefficient of variation (CV)0.6056788683
Kurtosis0.858659106
Mean0.2016747456
Median Absolute Deviation (MAD)0.07826086957
Skewness0.9520936773
Sum2369.678261
Variance0.01492065467
MonotonicityNot monotonic
2023-05-05T18:10:14.770840image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1826086957 470
 
2.8%
0.06956521739 464
 
2.7%
0.1304347826 458
 
2.7%
0.1913043478 451
 
2.7%
0.1739130435 432
 
2.6%
0.07826086957 427
 
2.5%
0.1217391304 426
 
2.5%
0.06086956522 422
 
2.5%
0.2 379
 
2.2%
0.09565217391 365
 
2.2%
Other values (67) 7456
44.1%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 108
 
0.6%
0.008695652174 3
 
< 0.1%
0.02608695652 12
 
0.1%
0.0347826087 4
 
< 0.1%
0.04347826087 326
1.9%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.8173913043 1
 
< 0.1%
0.7043478261 1
 
< 0.1%
0.6608695652 1
 
< 0.1%
0.6347826087 3
< 0.1%

gk_positioning_away_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct60
Distinct (%)0.5%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.7473073789
Minimum0
Maximum1
Zeros261
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:14.960837image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.5957446809
Q10.7021276596
median0.7659574468
Q30.8191489362
95-th percentile0.8936170213
Maximum1
Range1
Interquartile range (IQR)0.1170212766

Descriptive statistics

Standard deviation0.1406223668
Coefficient of variation (CV)0.1881720571
Kurtosis15.26340833
Mean0.7473073789
Median Absolute Deviation (MAD)0.06382978723
Skewness-3.293715406
Sum8780.861702
Variance0.01977465003
MonotonicityNot monotonic
2023-05-05T18:10:15.149809image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7978723404 759
 
4.5%
0.7872340426 610
 
3.6%
0.7340425532 561
 
3.3%
0.8085106383 556
 
3.3%
0.7659574468 552
 
3.3%
0.829787234 535
 
3.2%
0.7765957447 505
 
3.0%
0.8191489362 492
 
2.9%
0.7553191489 470
 
2.8%
0.7234042553 451
 
2.7%
Other values (50) 6259
37.0%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 261
1.5%
0.06382978723 1
 
< 0.1%
0.07446808511 1
 
< 0.1%
0.2127659574 1
 
< 0.1%
0.2234042553 1
 
< 0.1%
ValueCountFrequency (%)
1 10
 
0.1%
0.9893617021 18
 
0.1%
0.9787234043 18
 
0.1%
0.9680851064 33
0.2%
0.9574468085 67
0.4%
Distinct113
Distinct (%)1.0%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4305703558
Minimum0
Maximum1
Zeros6
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:15.334833image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.218487395
Q10.3025210084
median0.3865546218
Q30.5042016807
95-th percentile0.7647058824
Maximum1
Range1
Interquartile range (IQR)0.2016806723

Descriptive statistics

Standard deviation0.1774910981
Coefficient of variation (CV)0.4122232192
Kurtosis0.5799636709
Mean0.4305703558
Median Absolute Deviation (MAD)0.09243697479
Skewness1.045819308
Sum5059.201681
Variance0.03150308992
MonotonicityNot monotonic
2023-05-05T18:10:15.526822image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3613445378 346
 
2.0%
0.3445378151 327
 
1.9%
0.3865546218 308
 
1.8%
0.3697478992 303
 
1.8%
0.3949579832 300
 
1.8%
0.3781512605 298
 
1.8%
0.3529411765 294
 
1.7%
0.3277310924 289
 
1.7%
0.3361344538 288
 
1.7%
0.2941176471 285
 
1.7%
Other values (103) 8712
51.6%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 6
< 0.1%
0.06722689076 4
< 0.1%
0.0756302521 3
< 0.1%
0.08403361345 4
< 0.1%
0.09243697479 6
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9915966387 1
 
< 0.1%
0.9831932773 4
< 0.1%
0.974789916 8
< 0.1%
0.9663865546 9
0.1%
Distinct100
Distinct (%)0.9%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.373289689
Minimum0
Maximum0.9
Zeros11
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:15.707823image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2153846154
Q10.2769230769
median0.3307692308
Q30.4
95-th percentile0.6769230769
Maximum0.9
Range0.9
Interquartile range (IQR)0.1230769231

Descriptive statistics

Standard deviation0.1447487041
Coefficient of variation (CV)0.3877650746
Kurtosis0.2347454692
Mean0.373289689
Median Absolute Deviation (MAD)0.05384615385
Skewness1.10203615
Sum4386.153846
Variance0.02095218735
MonotonicityNot monotonic
2023-05-05T18:10:15.890276image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3076923077 540
 
3.2%
0.3230769231 513
 
3.0%
0.3153846154 501
 
3.0%
0.3461538462 480
 
2.8%
0.3307692308 470
 
2.8%
0.3 467
 
2.8%
0.2846153846 444
 
2.6%
0.2923076923 438
 
2.6%
0.3384615385 415
 
2.5%
0.2769230769 406
 
2.4%
Other values (90) 7076
41.9%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 11
0.1%
0.04615384615 1
 
< 0.1%
0.05384615385 2
 
< 0.1%
0.06153846154 3
 
< 0.1%
0.06923076923 3
 
< 0.1%
ValueCountFrequency (%)
0.9 1
 
< 0.1%
0.8769230769 4
< 0.1%
0.8692307692 2
 
< 0.1%
0.8615384615 2
 
< 0.1%
0.8538461538 5
< 0.1%
Distinct73
Distinct (%)0.6%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.2464295633
Minimum0
Maximum1
Zeros113
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:16.115204image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.06315789474
Q10.1263157895
median0.2210526316
Q30.3263157895
95-th percentile0.4842105263
Maximum1
Range1
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation0.1477469793
Coefficient of variation (CV)0.5995505465
Kurtosis0.6998010021
Mean0.2464295633
Median Absolute Deviation (MAD)0.09473684211
Skewness0.9177710451
Sum2895.547368
Variance0.0218291699
MonotonicityNot monotonic
2023-05-05T18:10:16.316140image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1578947368 464
 
2.7%
0.2210526316 452
 
2.7%
0.08421052632 442
 
2.6%
0.2105263158 436
 
2.6%
0.2315789474 407
 
2.4%
0.07368421053 402
 
2.4%
0.09473684211 399
 
2.4%
0.2421052632 379
 
2.2%
0.1473684211 378
 
2.2%
0.2631578947 369
 
2.2%
Other values (63) 7622
45.1%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 113
 
0.7%
0.01052631579 1
 
< 0.1%
0.03157894737 11
 
0.1%
0.04210526316 10
 
0.1%
0.05263157895 330
2.0%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.7578947368 2
 
< 0.1%
0.7473684211 4
 
< 0.1%
0.7368421053 6
 
< 0.1%
0.7263157895 29
0.2%

gk_positioning_home_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct56
Distinct (%)0.5%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.7486862834
Minimum0
Maximum1
Zeros246
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:16.524073image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.6063829787
Q10.7021276596
median0.7659574468
Q30.8191489362
95-th percentile0.8936170213
Maximum1
Range1
Interquartile range (IQR)0.1170212766

Descriptive statistics

Standard deviation0.13749719
Coefficient of variation (CV)0.1836512743
Kurtosis15.94482136
Mean0.7486862834
Median Absolute Deviation (MAD)0.06382978723
Skewness-3.339791149
Sum8797.06383
Variance0.01890547726
MonotonicityNot monotonic
2023-05-05T18:10:16.737005image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7978723404 691
 
4.1%
0.7872340426 656
 
3.9%
0.7659574468 606
 
3.6%
0.8085106383 563
 
3.3%
0.829787234 521
 
3.1%
0.7340425532 511
 
3.0%
0.7765957447 504
 
3.0%
0.8191489362 485
 
2.9%
0.8510638298 479
 
2.8%
0.7553191489 466
 
2.8%
Other values (46) 6268
37.1%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 246
1.5%
0.07446808511 2
 
< 0.1%
0.2340425532 2
 
< 0.1%
0.4042553191 4
 
< 0.1%
0.4361702128 1
 
< 0.1%
ValueCountFrequency (%)
1 7
 
< 0.1%
0.9893617021 15
 
0.1%
0.9787234043 14
 
0.1%
0.9680851064 30
0.2%
0.9574468085 61
0.4%
Distinct110
Distinct (%)0.9%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.3640820669
Minimum0
Maximum1
Zeros12
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:16.923946image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1857142857
Q10.2571428571
median0.3285714286
Q30.4285714286
95-th percentile0.65
Maximum1
Range1
Interquartile range (IQR)0.1714285714

Descriptive statistics

Standard deviation0.1502457662
Coefficient of variation (CV)0.4126700539
Kurtosis0.5865592299
Mean0.3640820669
Median Absolute Deviation (MAD)0.07857142857
Skewness1.039015635
Sum4277.964286
Variance0.02257379025
MonotonicityNot monotonic
2023-05-05T18:10:17.100890image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2928571429 332
 
2.0%
0.3285714286 318
 
1.9%
0.3142857143 316
 
1.9%
0.3071428571 307
 
1.8%
0.3 299
 
1.8%
0.2857142857 298
 
1.8%
0.3357142857 296
 
1.8%
0.2714285714 294
 
1.7%
0.3214285714 293
 
1.7%
0.3571428571 280
 
1.7%
Other values (100) 8717
51.6%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 12
0.1%
0.05714285714 2
 
< 0.1%
0.07142857143 4
 
< 0.1%
0.07857142857 5
< 0.1%
0.09285714286 1
 
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.8357142857 4
 
< 0.1%
0.8285714286 6
 
< 0.1%
0.8214285714 5
 
< 0.1%
0.8142857143 15
0.1%

gk_reflexes_away_defense
Real number (ℝ)

Distinct103
Distinct (%)0.9%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.3322347762
Minimum0
Maximum1
Zeros8
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:17.308824image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1931034483
Q10.2482758621
median0.2896551724
Q30.3586206897
95-th percentile0.6068965517
Maximum1
Range1
Interquartile range (IQR)0.1103448276

Descriptive statistics

Standard deviation0.132469694
Coefficient of variation (CV)0.3987231425
Kurtosis0.4021007234
Mean0.3322347762
Median Absolute Deviation (MAD)0.04827586207
Skewness1.153142973
Sum3903.758621
Variance0.01754821984
MonotonicityNot monotonic
2023-05-05T18:10:17.482860image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2689655172 530
 
3.1%
0.275862069 525
 
3.1%
0.2896551724 518
 
3.1%
0.2827586207 486
 
2.9%
0.2551724138 478
 
2.8%
0.2620689655 471
 
2.8%
0.2413793103 425
 
2.5%
0.2965517241 422
 
2.5%
0.2482758621 412
 
2.4%
0.3034482759 408
 
2.4%
Other values (93) 7075
41.9%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 8
< 0.1%
0.06206896552 2
 
< 0.1%
0.06896551724 3
 
< 0.1%
0.07586206897 6
< 0.1%
0.08275862069 9
0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9862068966 1
 
< 0.1%
0.9655172414 1
 
< 0.1%
0.9517241379 1
 
< 0.1%
0.8275862069 5
< 0.1%

gk_reflexes_away_forward
Real number (ℝ)

Distinct79
Distinct (%)0.7%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.1975893799
Minimum0
Maximum1
Zeros108
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:17.658831image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.05128205128
Q10.1025641026
median0.1794871795
Q30.2564102564
95-th percentile0.3931623932
Maximum1
Range1
Interquartile range (IQR)0.1538461538

Descriptive statistics

Standard deviation0.1190742674
Coefficient of variation (CV)0.6026349565
Kurtosis1.077662874
Mean0.1975893799
Median Absolute Deviation (MAD)0.07692307692
Skewness1.010671132
Sum2321.675214
Variance0.01417868115
MonotonicityNot monotonic
2023-05-05T18:10:17.856326image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.09401709402 497
 
2.9%
0.188034188 491
 
2.9%
0.08547008547 452
 
2.7%
0.1709401709 448
 
2.7%
0.1794871795 442
 
2.6%
0.1282051282 441
 
2.6%
0.1965811966 428
 
2.5%
0.1196581197 414
 
2.4%
0.1111111111 372
 
2.2%
0.04273504274 365
 
2.2%
Other values (69) 7400
43.8%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 108
0.6%
0.008547008547 10
 
0.1%
0.01709401709 2
 
< 0.1%
0.02564102564 6
 
< 0.1%
0.03418803419 1
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.7948717949 1
< 0.1%
0.7863247863 1
< 0.1%
0.7777777778 1
< 0.1%
0.6752136752 1
< 0.1%

gk_reflexes_away_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct58
Distinct (%)0.5%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.7747056738
Minimum0
Maximum1
Zeros261
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:18.043266image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.6354166667
Q10.7291666667
median0.8020833333
Q30.8541666667
95-th percentile0.9166666667
Maximum1
Range1
Interquartile range (IQR)0.125

Descriptive statistics

Standard deviation0.1422412434
Coefficient of variation (CV)0.1836068176
Kurtosis16.98822932
Mean0.7747056738
Median Absolute Deviation (MAD)0.0625
Skewness-3.57309104
Sum9102.791667
Variance0.02023257132
MonotonicityNot monotonic
2023-05-05T18:10:18.216211image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.84375 611
 
3.6%
0.8541666667 602
 
3.6%
0.8645833333 581
 
3.4%
0.8125 561
 
3.3%
0.8333333333 561
 
3.3%
0.875 560
 
3.3%
0.8020833333 521
 
3.1%
0.7708333333 504
 
3.0%
0.78125 495
 
2.9%
0.7916666667 491
 
2.9%
Other values (48) 6263
37.1%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 261
1.5%
0.1145833333 1
 
< 0.1%
0.15625 1
 
< 0.1%
0.2083333333 1
 
< 0.1%
0.21875 1
 
< 0.1%
ValueCountFrequency (%)
1 14
 
0.1%
0.9791666667 15
 
0.1%
0.96875 20
 
0.1%
0.9583333333 46
0.3%
0.9479166667 58
0.3%
Distinct112
Distinct (%)1.0%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4282681924
Minimum0
Maximum1
Zeros6
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:18.445138image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2100840336
Q10.3025210084
median0.3865546218
Q30.4957983193
95-th percentile0.7647058824
Maximum1
Range1
Interquartile range (IQR)0.1932773109

Descriptive statistics

Standard deviation0.1784121347
Coefficient of variation (CV)0.4165897394
Kurtosis0.5805855391
Mean0.4282681924
Median Absolute Deviation (MAD)0.09243697479
Skewness1.051120243
Sum5032.151261
Variance0.0318308898
MonotonicityNot monotonic
2023-05-05T18:10:18.677065image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3529411765 331
 
2.0%
0.3613445378 309
 
1.8%
0.3025210084 301
 
1.8%
0.3865546218 299
 
1.8%
0.3697478992 299
 
1.8%
0.3193277311 293
 
1.7%
0.3949579832 291
 
1.7%
0.3781512605 289
 
1.7%
0.3361344538 288
 
1.7%
0.4117647059 283
 
1.7%
Other values (102) 8767
51.9%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 6
< 0.1%
0.05042016807 1
 
< 0.1%
0.08403361345 2
 
< 0.1%
0.09243697479 4
< 0.1%
0.1008403361 4
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.9915966387 1
 
< 0.1%
0.9831932773 4
 
< 0.1%
0.974789916 8
< 0.1%
0.9663865546 10
0.1%

gk_reflexes_home_defense
Real number (ℝ)

Distinct103
Distinct (%)0.9%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.3587805653
Minimum0
Maximum0.9552238806
Zeros11
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:18.883998image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2014925373
Q10.2686567164
median0.3134328358
Q30.3880597015
95-th percentile0.6567164179
Maximum0.9552238806
Range0.9552238806
Interquartile range (IQR)0.1194029851

Descriptive statistics

Standard deviation0.1422091777
Coefficient of variation (CV)0.3963681187
Kurtosis0.2739065196
Mean0.3587805653
Median Absolute Deviation (MAD)0.05223880597
Skewness1.113178377
Sum4215.671642
Variance0.02022345021
MonotonicityNot monotonic
2023-05-05T18:10:19.058942image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2985074627 514
 
3.0%
0.3134328358 511
 
3.0%
0.2910447761 508
 
3.0%
0.276119403 490
 
2.9%
0.3059701493 469
 
2.8%
0.2835820896 447
 
2.6%
0.3208955224 443
 
2.6%
0.2611940299 442
 
2.6%
0.2686567164 422
 
2.5%
0.328358209 408
 
2.4%
Other values (93) 7096
42.0%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 11
0.1%
0.0447761194 1
 
< 0.1%
0.05223880597 1
 
< 0.1%
0.0671641791 4
 
< 0.1%
0.07462686567 5
< 0.1%
ValueCountFrequency (%)
0.9552238806 1
 
< 0.1%
0.8955223881 3
< 0.1%
0.8880597015 2
< 0.1%
0.8805970149 1
 
< 0.1%
0.8731343284 3
< 0.1%

gk_reflexes_home_forward
Real number (ℝ)

Distinct75
Distinct (%)0.6%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.2099053096
Minimum0
Maximum1
Zeros113
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:19.245883image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.05405405405
Q10.1081081081
median0.1891891892
Q30.2792792793
95-th percentile0.4144144144
Maximum1
Range1
Interquartile range (IQR)0.1711711712

Descriptive statistics

Standard deviation0.1257654686
Coefficient of variation (CV)0.599153346
Kurtosis0.8855192929
Mean0.2099053096
Median Absolute Deviation (MAD)0.08108108108
Skewness0.9772660667
Sum2466.387387
Variance0.01581695308
MonotonicityNot monotonic
2023-05-05T18:10:19.420866image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1981981982 511
 
3.0%
0.0990990991 488
 
2.9%
0.09009009009 453
 
2.7%
0.1801801802 448
 
2.7%
0.1891891892 440
 
2.6%
0.1351351351 434
 
2.6%
0.2072072072 411
 
2.4%
0.1261261261 408
 
2.4%
0.2162162162 389
 
2.3%
0.08108108108 367
 
2.2%
Other values (65) 7401
43.8%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 113
0.7%
0.009009009009 9
 
0.1%
0.01801801802 5
 
< 0.1%
0.02702702703 3
 
< 0.1%
0.03603603604 3
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.7657657658 1
< 0.1%
0.7117117117 1
< 0.1%
0.6576576577 1
< 0.1%
0.6486486486 1
< 0.1%

gk_reflexes_home_goalkeeper
Real number (ℝ)

MISSING  ZEROS 

Distinct52
Distinct (%)0.4%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.7763980496
Minimum0
Maximum1
Zeros246
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:19.630876image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.6354166667
Q10.7291666667
median0.8020833333
Q30.8541666667
95-th percentile0.90625
Maximum1
Range1
Interquartile range (IQR)0.125

Descriptive statistics

Standard deviation0.1389010781
Coefficient of variation (CV)0.1789044655
Kurtosis17.86013533
Mean0.7763980496
Median Absolute Deviation (MAD)0.0625
Skewness-3.636399008
Sum9122.677083
Variance0.01929350949
MonotonicityNot monotonic
2023-05-05T18:10:19.840835image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.84375 663
 
3.9%
0.8541666667 617
 
3.7%
0.8645833333 580
 
3.4%
0.8125 571
 
3.4%
0.8333333333 563
 
3.3%
0.875 550
 
3.3%
0.7916666667 522
 
3.1%
0.8020833333 505
 
3.0%
0.7708333333 502
 
3.0%
0.78125 500
 
3.0%
Other values (42) 6177
36.6%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 246
1.5%
0.15625 2
 
< 0.1%
0.21875 2
 
< 0.1%
0.3854166667 1
 
< 0.1%
0.4479166667 3
 
< 0.1%
ValueCountFrequency (%)
1 16
 
0.1%
0.9791666667 14
 
0.1%
0.96875 13
 
0.1%
0.9583333333 43
0.3%
0.9479166667 59
0.3%
Distinct114
Distinct (%)1.0%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.3647886117
Minimum0
Maximum1
Zeros12
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:20.048870image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1798561151
Q10.2589928058
median0.3309352518
Q30.4244604317
95-th percentile0.654676259
Maximum1
Range1
Interquartile range (IQR)0.1654676259

Descriptive statistics

Standard deviation0.1521084492
Coefficient of variation (CV)0.4169769678
Kurtosis0.589955177
Mean0.3647886117
Median Absolute Deviation (MAD)0.07913669065
Skewness1.039831334
Sum4286.266187
Variance0.02313698031
MonotonicityNot monotonic
2023-05-05T18:10:20.273311image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3165467626 332
 
2.0%
0.309352518 314
 
1.9%
0.3021582734 311
 
1.8%
0.2805755396 308
 
1.8%
0.3525179856 303
 
1.8%
0.3237410072 298
 
1.8%
0.2949640288 298
 
1.8%
0.3381294964 298
 
1.8%
0.3309352518 295
 
1.7%
0.2446043165 286
 
1.7%
Other values (104) 8707
51.5%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 12
0.1%
0.04316546763 1
 
< 0.1%
0.05035971223 1
 
< 0.1%
0.06474820144 1
 
< 0.1%
0.07194244604 2
 
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.8561151079 1
 
< 0.1%
0.8417266187 4
< 0.1%
0.8345323741 6
< 0.1%
0.8273381295 5
< 0.1%

count_away_defense
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4753191489
Minimum0
Maximum1
Zeros741
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:20.447256image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.5
median0.5
Q30.5
95-th percentile0.5
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1363228762
Coefficient of variation (CV)0.2868028281
Kurtosis9.334958531
Mean0.4753191489
Median Absolute Deviation (MAD)0
Skewness-1.886984987
Sum5585
Variance0.01858392656
MonotonicityNot monotonic
2023-05-05T18:10:20.575214image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0.5 10848
64.2%
0 741
 
4.4%
1 161
 
1.0%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 741
 
4.4%
0.5 10848
64.2%
1 161
 
1.0%
ValueCountFrequency (%)
1 161
 
1.0%
0.5 10848
64.2%
0 741
 
4.4%

count_away_forward
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4449787234
Minimum0
Maximum1
Zeros4203
Zeros (%)24.9%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:20.696176image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.5
Q30.5
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.3851307676
Coefficient of variation (CV)0.865503781
Kurtosis-1.293915651
Mean0.4449787234
Median Absolute Deviation (MAD)0.5
Skewness0.1907255261
Sum5228.5
Variance0.1483257081
MonotonicityNot monotonic
2023-05-05T18:10:20.822136image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0.5 4637
27.4%
0 4203
24.9%
1 2910
17.2%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 4203
24.9%
0.5 4637
27.4%
1 2910
17.2%
ValueCountFrequency (%)
1 2910
17.2%
0.5 4637
27.4%
0 4203
24.9%

count_away_goalkeeper
Real number (ℝ)

CONSTANT  MISSING  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros11750
Zeros (%)69.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:20.938099image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-05-05T18:10:21.052062image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 11750
69.5%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 11750
69.5%
ValueCountFrequency (%)
0 11750
69.5%

count_away_midfielder
Real number (ℝ)

MISSING  ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.3864680851
Minimum0
Maximum1
Zeros2701
Zeros (%)16.0%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:21.164026image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.3333333333
median0.3333333333
Q30.6666666667
95-th percentile0.6666666667
Maximum1
Range1
Interquartile range (IQR)0.3333333333

Descriptive statistics

Standard deviation0.2569696127
Coefficient of variation (CV)0.6649180685
Kurtosis-1.26514812
Mean0.3864680851
Median Absolute Deviation (MAD)0.3333333333
Skewness-0.2779094533
Sum4541
Variance0.06603338185
MonotonicityNot monotonic
2023-05-05T18:10:21.277990image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0.6666666667 4568
27.0%
0.3333333333 4478
26.5%
0 2701
16.0%
1 3
 
< 0.1%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 2701
16.0%
0.3333333333 4478
26.5%
0.6666666667 4568
27.0%
1 3
 
< 0.1%
ValueCountFrequency (%)
1 3
 
< 0.1%
0.6666666667 4568
27.0%
0.3333333333 4478
26.5%
0 2701
16.0%

count_home_defense
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4755744681
Minimum0
Maximum1
Zeros707
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:21.402950image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.5
median0.5
Q30.5
95-th percentile0.5
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1314427792
Coefficient of variation (CV)0.2763873758
Kurtosis10.18753682
Mean0.4755744681
Median Absolute Deviation (MAD)0
Skewness-2.125589188
Sum5588
Variance0.01727720422
MonotonicityNot monotonic
2023-05-05T18:10:21.519941image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0.5 10910
64.6%
0 707
 
4.2%
1 133
 
0.8%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 707
 
4.2%
0.5 10910
64.6%
1 133
 
0.8%
ValueCountFrequency (%)
1 133
 
0.8%
0.5 10910
64.6%
0 707
 
4.2%

count_home_forward
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.4543404255
Minimum0
Maximum1
Zeros3980
Zeros (%)23.6%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:21.657896image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.5
Q30.5
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.3800781664
Coefficient of variation (CV)0.8365493032
Kurtosis-1.25700335
Mean0.4543404255
Median Absolute Deviation (MAD)0.5
Skewness0.1542392726
Sum5338.5
Variance0.1444594126
MonotonicityNot monotonic
2023-05-05T18:10:21.789878image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0.5 4863
28.8%
0 3980
23.6%
1 2907
17.2%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 3980
23.6%
0.5 4863
28.8%
1 2907
17.2%
ValueCountFrequency (%)
1 2907
17.2%
0.5 4863
28.8%
0 3980
23.6%

count_home_goalkeeper
Real number (ℝ)

CONSTANT  MISSING  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros11750
Zeros (%)69.5%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:21.910889image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-05-05T18:10:22.018910image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 11750
69.5%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 11750
69.5%
ValueCountFrequency (%)
0 11750
69.5%

count_home_midfielder
Real number (ℝ)

MISSING  ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing5148
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.3800567376
Minimum0
Maximum1
Zeros2703
Zeros (%)16.0%
Negative0
Negative (%)0.0%
Memory size264.0 KiB
2023-05-05T18:10:22.138898image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.3333333333
median0.3333333333
Q30.6666666667
95-th percentile0.6666666667
Maximum1
Range1
Interquartile range (IQR)0.3333333333

Descriptive statistics

Standard deviation0.2542633453
Coefficient of variation (CV)0.6690141765
Kurtosis-1.234099351
Mean0.3800567376
Median Absolute Deviation (MAD)0.3333333333
Skewness-0.2336230496
Sum4465.666667
Variance0.06464984878
MonotonicityNot monotonic
2023-05-05T18:10:22.290877image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0.3333333333 4704
27.8%
0.6666666667 4336
25.7%
0 2703
16.0%
1 7
 
< 0.1%
(Missing) 5148
30.5%
ValueCountFrequency (%)
0 2703
16.0%
0.3333333333 4704
27.8%
0.6666666667 4336
25.7%
1 7
 
< 0.1%
ValueCountFrequency (%)
1 7
 
< 0.1%
0.6666666667 4336
25.7%
0.3333333333 4704
27.8%
0 2703
16.0%